ADVANCED MICRO DEVICES INC — Call Transcript 2026

Greetings and welcome to the AMD first quarter 2026 conference call. I will now turn the conference over to Matt Ramsay, Vice President of Financial Strategy and IR. Thank you, Matt. You may begin. Thank you, and welcome to AMD's first quarter 2026 financial results conference call. By now, you should have had the opportunity to review a copy of our earnings press release and the accompanying slides. If you have not had a chance to review these materials, they can be found on the investor relations page of amd.com. We will refer primarily to non-GAAP financial measures during today's call. The full non-GAAP to GAAP reconciliations are available in today's press release and slides posted on our website. Participants on today's conference call are Dr. Lisa Su, our Chair and CEO, and Jean Hu, Executive Vice President, CFO, and Treasurer. This is a live call and will be replayed via webcast on our website. Before we begin the call, I would like to note that Jean Hu will present at the Bank of America Global TMT Conference on Tuesday, June 2nd, in San Francisco. Today's discussion contains forward-looking statements based on current beliefs, assumptions, and expectations, speak only as of today, and as such, involve risks and uncertainties that could cause actual results to differ materially from our current expectations. Please refer to our cautionary statement in our press release for more information on factors that could cause actual results to differ materially. With that, I will hand the call over to Lisa. Thank you, Matt, and good afternoon to all those listening in today. We delivered an outstanding start to the year, driven by accelerating demand for AI infrastructure across our portfolio. Growth was broad-based, with every segment increasing year-over-year, led by 57% data center revenue growth. First quarter revenue increased 38% year-over-year to $10.3 billion. Earnings grew more than 40% and free cash flow more than tripled to a record $2.6 billion, driven by significantly higher sales of EPYC CPUs, Instinct GPUs, and Ryzen processors. These results mark a clear inflection in our growth trajectory and a structural shift in our business. Data center is now the primary driver of our revenue and earnings growth, and as AI adoption scales, demand is increasing not only for accelerators, but also for the high-performance CPUs that power and orchestrate those workloads. Turning to our segments, data center revenue increased 57% year-over-year to a record $5.8 billion, led by strong demand for our EPYC CPUs and Instinct GPUs. In server, we delivered our fourth consecutive quarter of record server CPU revenue. Revenue increased more than 50% year-over-year, with sales to both cloud and enterprise customers each growing more than 50%. Share gains accelerated year-over-year, reflecting the ramp of 5th-gen EPYC Turin CPUs and continued strength of 4th-gen EPYC processors across a wide range of workloads. In cloud, AI was the primary driver of growth in the quarter, as every major cloud provider expanded their EPYC footprint to support a broad range of AI workloads, from general purpose compute and data processing to head nodes for accelerators and emerging agentic applications. EPYC-powered cloud instances increased nearly 50% year-over-year to more than 1,600, with instances optimized for virtually every enterprise workload and expanded availability across the largest global cloud providers. In enterprise, demand accelerated with record revenue and record sell-through in the quarter. We expanded our customer base with new wins across financial services, healthcare, industrial, and digital infrastructure companies, while also building momentum with mid-market and SMB customers. We are well-positioned to continue gaining share as more enterprises standardize on EPYC across on-prem and hybrid environments based on our leadership performance and TCO. Looking ahead, our sixth-gen EPYC Venice processor, built on our Zen 6 architecture and 2nm process technology, is designed to extend our leadership across cloud, enterprise, and AI workloads. The Venice family spans a broad set of CPUs optimized for throughput, performance per watt, and performance per dollar, including Verano, our first EPYC CPU purpose-built for AI infrastructure. Across the portfolio, Venice widens our competitive advantage, delivering substantially higher performance per socket and per watt versus competitive x86 offerings and more than 2x throughput per socket versus leading Arm-based AI solutions. Customer demand is very strong, with more customers validating and ramping platforms at this stage than with any prior EPYC generation, and we remain on track to launch Venice later this year. Looking more broadly, we are seeing a meaningful acceleration in customer demand driven by the rapid scaling of AI workloads across both cloud and enterprise. Inferencing and agentic AI are increasing the need for server CPU compute, as these workloads require additional CPU processing for orchestration, data movement, and parallel execution, in addition to serving as the head nodes for GPUs and accelerators. As a result, we are seeing both stronger near-term demand and deeper engagement with customers on long-term capacity planning. At our Financial Analyst Day in November, we outlined the server CPU market growing at approximately 18% annually over the next three to five years. Based on the demand signals we are seeing today and the structural increase in CPU compute requirements driven by agentic AI, we now expect the server CPU TAM to grow at greater than 35% annually, reaching over $120 billion by 2030. In response to this demand, we are working closely with our supply chain partners to meaningfully increase our wafer and back-end capacities to support this growth. As a result, we now expect server CPU revenue to grow by more than 70% year-over-year in the second quarter, with robust growth continuing through the second half of 2026 and into 2027 as we ramp our next-generation EPYC processors. Now turning to our data center AI business. Revenue grew by a significant double-digit percentage year-over-year as adoption of Instinct accelerates across cloud, enterprise, sovereign, and supercomputing customers. We're seeing strong momentum as customers move from pilots to large-scale production deployments, particularly in inference, where our leadership memory capacity and bandwidth are key advantages. This momentum is driving deeper long-term customer engagements, including large-scale multi-generation deployments. A key example is our expanded strategic partnership with Meta to deploy up to 6 GW of AMD Instinct GPUs spanning several product generations. Our agreement includes a custom GPU accelerator based on our MI450 architecture, co-designed to support Meta's next-generation AI workloads. Shipments are on track to begin in the second half of the year, leveraging our Helios rack-scale architecture, which integrates Instinct GPUs with EPYC Venice CPUs to deliver fully optimized high-performance AI infrastructure. Together with our previously announced OpenAI partnership, these engagements position AMD as a core partner to the world's largest AI infrastructure builders with deep co-engineering relationships and multi-year visibility into large-scale deployments. More broadly, Instinct adoption continues to expand across AI native and enterprise customers for both training and inference workloads. Existing partners are expanding Instinct across broader set of workloads, while a growing number of new partners are deploying production AI workloads on Instinct, highlighting the maturity of our hardware and software stack. On the software front, we continue to make strong progress with ROCm, improving performance, scalability, and enabling customers to reach production faster. In our latest MLPerf results, MI355X delivered strong competitive performance across the full suite with leadership results in multiple categories. We also expanded day zero support for the leading open models, including the latest Google Gemma 4 family, Qwen, Kimi, and others, enabling customers to deploy new models quickly with optimized performance. To build on this momentum, we have significantly accelerated our ROCm development cadence through increased software investments and agent-based coding workflows, enabling faster performance improvements and more rapid deployment of new capabilities. Looking ahead, customer pull for Helios is very strong, driven by our leadership performance, memory bandwidth, and scale-out capacity. Helios development is progressing well with strong execution across silicon, software, and systems as we advance through key milestones. We have begun sampling MI450 series GPUs to lead customers and remain on track to ramp Helios production shipments in the second half of the year. As we approach production, demand for MI450 series GPUs continues to strengthen, with lead customer forecasts now exceeding our initial plans and a growing number of new customers engaging on large-scale deployments, including additional multi-gigawatt opportunities. With this expanded visibility, we have strong and increasing confidence in our ability to deliver tens of billions of dollars in annual data center AI revenue in 2027 and to exceed our long-term growth target of greater than 80% in the coming years. I look forward to sharing more on our next-generation Instinct GPUs, EPYC processors, Helios rack-scale platform, and our growing customer engagements at our Advancing AI event in July. Turning to Client and Gaming, segment revenue increased 23% year-over-year to $3.6 billion. In client, revenue grew 26% year-over-year to $2.9 billion, led by strong sales of our latest Ryzen processors and continued share gains across consumer and commercial markets. In desktop, we strengthened our Ryzen lineup, including our latest X3D processors that deliver leadership performance across gaming, content creation, and professional workloads. We also introduced the Ryzen AI 400 series and Ryzen AI Pro 400 series desktop CPUs, extending our AI PC offerings across both consumer and commercial systems. In mobile, we delivered strong growth driven by a richer product mix as Ryzen 400 mobile PC shipments ramped and commercial adoption increased. Commercial was a key highlight in the quarter, with sell-through of Ryzen PRO PCs increasing more than 50% year-over-year as Dell, HP, and Lenovo broadened their AMD offerings. We also closed new enterprise wins across large technology, financial services, healthcare, and aerospace customers. Looking ahead, we expect demand for our Ryzen CPUs to remain solid in the second quarter. We are planning for second half PC shipments to be lower due to higher memory and component costs. Against this backdrop, we still expect our client revenue to grow year-over-year and outperform the market, driven by the strength of our Ryzen portfolio and expanding commercial adoption. In gaming, revenue increased 11% year-over-year to $720 million. Semi-custom revenue declined year-over-year as expected at this stage of the console cycle, while engagements with customers on next generation platforms remain strong. In graphics, revenue increased year-over-year, led by demand for our latest generation Radeon 9000 series GPUs. We also strengthened our Radeon portfolio with updates to our FSR software that improved performance and visual quality across a broad set of gaming workloads. Similar to the PC market, we believe that second half demand in gaming will be impacted by higher memory and component costs, and we are planning the business accordingly. Turning to our Embedded segment, revenue increased 6% year-over-year to $873 million, driven by strength in test, measurement and emulation, aerospace and defense and communications, as well as increased adoption of our embedded x86 products. Design win momentum grew by a double-digit percentage year-over-year with billions of dollars in new wins across markets, reflecting the continued expansion of our embedded business from a primarily FPGA-focused portfolio to a broader set of adaptive embedded x86 and semi-custom solutions, significantly expanding our TAM. Our semi-custom engagements also expanded in the quarter as data center, communications and other embedded customers leverage our broad IP portfolio and high-performance expertise to build differentiated solutions. In summary, our first quarter results mark a clear step up in our growth trajectory with accelerating momentum across the business. Our client business continues to outperform the market, driven by rising adoption and share gains, while in embedded, design win momentum and demand are strengthening across our expanded adaptive and x86 portfolio. At the same time, our data center business is inflecting with strong demand for both EPYC and Instinct products driving significant growth. While we are still in the early stages of the AI infrastructure cycle, the pace and scale of deployments we are seeing today reinforce both the magnitude and durability of the opportunity ahead. As inferencing and agentic AI deployments scale, they are fundamentally increasing compute requirements, driving both larger scale accelerator deployments and significantly more CPU compute. AMD is uniquely positioned to lead in this next phase of AI with leadership products across high-performance server CPUs and AI accelerators, and the ability to optimize them together as fully integrated rack-scale solutions. We have a world-class supply chain and are making significant investments to expand capacity and execute at scale. With the momentum we are seeing across the business and the expanding market opportunity, we see a clear path to exceed our long-term financial targets, including delivering more than $20 in EPS over the strategic timeframe. Now I will turn the call over to Jean to provide additional color on our first quarter results. Jean. Thank you, Lisa. Good afternoon, everyone. I'll start with the review of our first quarter financial results. Then provide our current outlook for the second quarter of fiscal 2026. We are pleased with our outstanding first quarter results, delivering accelerated revenue growth and earnings expansion driven by strong execution and operating leverage. First quarter revenue was $10.3 billion, exceeding the high end of our guidance, growing 38% year-over-year, driven by strong growth in the Data Center and Client and Gaming segments, and a return to growth in the Embedded segment. Revenue was flat sequentially with continued growth in the Data Center segment, offset by seasonality in the Client and Gaming segment and the Embedded segment. Gross margin was 55%, up 170 basis points versus a year ago, driven by a favorable product mix, including a higher Data Center revenue contribution. Operating expenses were $3.1 billion, an increase of 42% year-over-year as we continue to invest in R&D to support our AI roadmap and the long-term growth opportunities and go-to-market activities. As the business scales, operating income grew faster than top-line revenue. Operating income was $2.5 billion, representing a 25% operating margin. Taxes, interest, and other resulting in a net expense of approximately $275 million. For the quarter, diluted earnings per share was $1.37, up 43% year-over-year, underscoring the significant operating leverage in our model as we scale. Now turning to our reportable segment, starting with the Data Center Segment. Revenue was a record $5.8 billion, up 57% year-over-year and 7% sequentially, driven by strong demand for EPYC processors and the continued ramp of Instinct GPUs. Data Center segment operating income was $1.6 billion or 28% of revenue compared to $932 million or 25% a year ago. Client and Gaming segment revenue was $3.6 billion, up 23% year-over-year. On a sequential basis, revenue was down 9%, consistent with the seasonality. The client business revenue was $2.9 billion, up 26% year-over-year, driven by strong demand for our latest Ryzen processors, favorable product mix, and continued share gains across consumer and commercial markets. Sequentially, client revenue was down 7% due to seasonality. The gaming business revenue was $720 million, up 11% year-over-year, primarily driven by higher demand for Radeon GPUs, partially offset by lower semi-customer revenue. Sequentially, gaming revenue was down 15%, consistent with our expectations. In addition, as Lisa mentioned earlier, we expect second half demand in gaming to be impacted by higher memory and component costs. We now expect second half gaming revenue to decline more than 20% compared to the first half. Client and Gaming segment operating income was $575 million or 16% of revenue, compared to $496 million or 17% a year ago. Embedded segment revenue was $873 million, up 6% year-over-year as demand strengthened across several end markets. Sequentially, embedded revenue was seasonally down 8%. Embedded segment operating income was $338 million or 39% of revenue, compared to $328 million or 40% a year ago. Turning to the balance sheet and the cash flow. During the quarter, we generated $3 billion in cash from continuing operations and a record $2.6 billion in free cash flow or 25% of revenue, demonstrating the cash generating power of our business model. Inventory was roughly flat at $8 billion. At the end of the quarter, cash equivalents and short-term investment were $12.3 billion. In the quarter, we repurchased 1.1 million shares and returned $221 million to shareholders. We ended the quarter with $9.2 billion authorization remaining under our share repurchase program. Turning to our second quarter 2026 outlook. We expect revenue to be approximately $11.2 billion ± $300 million. At the middle point of our guidance, revenue is expected to be up 46% year-over-year, driven by very strong growth in our Data Center segment, growth in our Client and Gaming segment, and a double-digit growth in our Embedded segment. Sequentially, we expect revenue to be up approximately 9%, driven by double-digit growth in both our Data Center and Embedded segments, and a modest growth in our Client and Gaming segment. In addition, we expect second quarter non-GAAP gross margin to be approximately 56%. Non-GAAP operating expenses to be approximately $3.3 billion. Non-GAAP other income and expense to be again of approximately $60 million. Non-GAAP effective tax rate to be 13%, and the diluted share count is expected to be approximately 1.66 billion shares. In closing, the first quarter of 2026 was an outstanding quarter for AMD, reflecting strong momentum across the business with accelerated revenue and earnings expansion. We are very well positioned to build on the momentum as we scale our Data Center business, expand margins, drive continued earnings growth and long-term shareholder value creation. With that, I'll turn it back to Matt for the Q&A session. Thank you, Jean. Operator, we're ready to start the Q&A session now. I would ask the callers to limit yourself to one question and one brief follow-up. Please go ahead and poll for questions. Thank you. Thank you, Matt. We will now be conducting a question and answer session. If you would like to ask a question, please press star one on your telephone keypad. A confirmation tone will indicate that your line is in the queue. You may press star two if you'd like to remove a question from the queue. For participants using speaker equipment, it may be necessary to pick up your handset before pressing the star keys. We ask that you please limit yourself to one question and one follow-up. Thank you. One moment please, while we poll for questions. The first question comes from the line of Joshua Buchalter with TD Cowen. Please proceed with your question. Hey, guys. Congrats on the results and thanks for taking my question. Actually going to start with CPUs, which hasn't happened in a bit. You know, it hasn't been that long since you announced the $60 billion server CPU TAM for 2030 at the Analyst Day, and it's very quickly doubled. Agentic AI has obviously gotten a lot of attention in recent months, but would be helpful to hear your thoughts on how this TAM is inflecting and changing so meaningfully in such a short amount of time. Maybe you could also speak to your confidence in hitting that greater than 50% share target from the Analyst Day as your x86 competitor seems to be, you know, improving its supply and also there seems to be more momentum on the merchant and custom Arm CPU side. Thank you. Yeah, sure, Josh. Thanks for the question. You know, first of all, when we think about CPU TAM, I mean, we've always said that CPUs are a very critical part of data center infrastructure, and, you know, that's been where we've invested. We saw the first signs of, let's call it AI demand, really pulling CPU demand, you know, last year. That was the reason we updated the TAM to, let's call it the 18% CAGR, approximately $60 billion. You know, what we've seen is, you know, all of the things that we believed in terms of, you know, agentic AI and inferencing and all the CPU compute that is required, is just happening, and it's happening at a much faster pace. You know, over the last few months, as we've talked to our customers and we've seen how AI adoption is really unfolding, you know, we're seeing significantly more CPU demand from really every major cloud provider as well as enterprise customers. You know, the way that comes across is as AI adoption scales, you need more inferencing. As inferencing scales, you know, you have more agents and agentic AI, they all require CPUs for you know, all of the orchestration and the data processing and these other tasks. You know, with that, we've looked at it both, you know, bottoms up, you know, in terms of talking to customers and having them, you know, give us longer term forecasts, as well as just doing, some, you know, clear workload analysis. Yeah, I mean, it's a very exciting TAM. I think it's exciting to see, you know, CPUs growing, you know, greater than 35%, to, you know, over $120 billion. You know, when you think about, you know, AMD in the context of that, I mean, you know, CPUs are critical for so many tasks that you are seeing, a lot more discussion about CPUs in the market. We actually, you know, view it in three categories, right? There's general purpose compute, there's the head nodes that really, you know, support the AI accelerators, and then, you know, there are CPUs just for all of the agentic AI at work. You know, to do all of this, you know, our belief is you need a broad portfolio of CPUs, and that's really what we have been focused on, is building, you know, not just, you know, one type, but really a broader in terms of, you know, throughput optimized, power optimized, cost optimized, you know, AI infrastructure optimized, as we've done in the Venice family. You know, when you put all that together, we're very excited about the larger TAM and, we're also, you know, very happy with the traction that we're getting. We're clearly feeling like we're seeing significant share gain as, you know, we're going into our Turin portfolio. That has ramped very nicely. Venice is extremely well-positioned, and we're working with customers right now on, you know, beyond Venice and what we're doing in those architectures. We feel really good about the market as well as, you know, our opportunity to grow to a greater than 50% share of that market. Okay. Thank you for all the color there. I wanted to ask about the Instinct side. In the press release, you mentioned that MI450 and Helios engagements are strengthening with customer forecasts exceeding the expectations and the pipeline growing. You know, you certainly have the big public OpenAI and Meta deals. Was this comment referring to those engagements upsizing versus the announced initial deployments, or was it other customers? Maybe is the increase on the MI450 timeline or is it MI500 and beyond? Thank you. Sure, Josh. We are very excited about MI450 and Helios. We're seeing significant customer interest in those products as well. You know, we have certainly talked about our large partnerships with OpenAI and Meta, and those are going really well. We appreciate the deep co-engineering that has gone on there. You know, when we look at the totality of, let's call it, you know, based on our current visibility, you know, how those forecasts are coming in with all of our customers, we're actually seeing it above our, you know, initial plans that we had planned for 2027. I think the encouraging thing is we're seeing a breadth of customers who are now very interested in deploying at significant scale, MI450 series. And those are for both training and inference workloads, although the largest deployments are for inference. You know, based on all of that, and the scale of new customer interest, we see a path to really get to exceed our original targets of greater than 80% CAGR. These are really 2027 timeframe. Obviously, when we talk to customers, we're talking to them about MI355. There's a lot of good traction we're seeing there. MI450 and Helios, I think for significant large scale deployments. Then many customers are also very engaged with us on the MI500 series and all of the opportunities there. You know, we feel like, you know, very good progress. You know, the key is that we're, you know, continuing to broaden and widen the scope of both customers as well as workloads. The next question comes from the line of Thomas O'Malley with Barclays. Please proceed with your question. Hey, guys. Thanks for taking my question. Lisa, if I, if I get your numbers correct here in the March quarter, it sounds like, you know, the server processor side of the CPU side grew over 50%. If you take it just at the word, it looks like maybe the data center GPU side actually grew in Q1. I was curious around the cadence of this year. Kind of previously, you had talked about really a back half weighted and then kind of more so Q4 weighted year. Could you talk about if that's changed at all? The second part of the question is, as you go into 2027, clearly you're pointing out a lot of upside from the larger customers and then kind of the ecosystem around them with new customers as well. When you look at supply, that's a major issue in the ecosystem today. Could you talk about where you're concerned on supply, if you are, and then any gating factors as you look into next year, whether that be power, data center buildouts, et cetera, or do you feel really good about the ability to grow? Thank you very much. Yeah. Okay. A lot of pieces of that question, Tom, so let me try to get through it. First of all, on the Data Center segment in Q1, the server business was, you know, greater than 50% year-over-year, as we said in the prepared remarks. The data center AI was actually down modestly because of the China transition. We had more China revenue sequentially, more China revenue in Q4, and it was less in Q1. As we go forward, I think we see strong growth in both segments. We guided data center Q2 up sequentially double digits, and that's double digits in both server as well as data center AI. Progression as we go forward. First on the server CPU side, we talked about growing to over 70% year-over-year in Q2, and that continuing into the second half of the year. On the data center AI side, we will be ramping Helios in the second half of the year. Let's call it starting with initial volume in Q3, with a significant ramp in Q4 and then continuing to ramp in Q1. That's kind of a little bit of the progression. Then to your questions about customers and supply, I think I answered, you know, Josh, the customer question. I think we have, you know, very, you know, good visibility now into the deployments that are on track for 2027. When I say good visibility, it's visibility down to, you know, which data centers are the GPU is going to be installed in. That's, you know, necessary just given all of the constraints out there. We feel that there is tightness in the supply chain. There is certainly tightness in, you know, sort of data center build-outs, but we are confident in our ability to supply to the levels of growth that we're talking about and to exceed the levels of growth that we're talking about. We're also working very closely with our customers and our partners to ensure that we have good visibility to data center power. There is much more power that's coming online in 2027. With all those things in mind, I think, you know, again, lots of things to manage. It's a complex ramp, but we're very, very pleased with the progress on the ramp. All right. Tom, I think you shotgunned approach the multiple questions there. Operator, maybe we can go on to the next caller, please. Thank you. Thank you. The next question comes from the line of Ross Seymore with Deutsche Bank. Please proceed with your question. Hi. Thanks for letting me ask a couple of questions. The first one is just on the EPYC competition. Lisa, you went through some of the statistics of you versus x86 and you versus Arm, I wanted to dive a little bit deeper into that. How do you see AMD truly differentiating, especially when you see some of your competition signing up the same customers from the Arm side and the x86 competition having more supply. I just wanted to see if you could dig a little bit deeper into how you think the market share is gonna trend over time. Sure, Ross. Look, we're very, you know, we're very engaged with, you know, every major hyperscaler and in terms of understanding their needs on the CPU side. I think we have very much wanted to, let's call it, optimize our CPU roadmap for the various workloads. I think we were early to call this, you know, AI component of CPUs. We've been actually optimizing very closely with those customers. The way to think about this, Ross, is that, you know, you're gonna need a broad portfolio of CPUs. Like, not all CPUs are the same. You know, frankly, you're gonna need different CPUs for whether you're talking about general purpose operations or you're talking about head nodes or you're talking about agentic AI tasks. They're gonna be optimized differently. We thought through that, and we are, you know, absolutely, optimizing across the various workloads. From a competitive standpoint, we feel very good about where things are, and from a, you know, deep relationship, you know, with the customer set, I think we feel very good about that. From our current, you know, standpoint, I think the depth of our roadmap just expands as we go forward. You shouldn't think about it as, you know, people are going to do one or the other. I think you're gonna see people, actually use x86, you know, and Arm, for many of the large hyperscalers, and, you know, even for those who are developing their own, they're still buying lots of CPUs, in the merchant market, for the reason that I just stated, which is you need different CPUs for the different types of workloads. You know, there's very high demand at the moment. Thanks for that. I guess for my follow-up, maybe more for Jean on the gross margin side of things. It's nice to see the gross margin popping up in the second quarter guide, but I just wanted to get some trends longer term, maybe not specific numbers. How should we think about when Helios and the Instinct side really ramps in the fourth quarter and more so next year? I could see some offsets with that carrying a below corporate average gross margin, but then everything that Lisa talked about with the EPYC side of things being significantly stronger might be more of an offset than it was in the past. Just walk us through the puts and takes of that and maybe directionally where you think gross margin goes over the next year or two. Yeah, Ross, thanks for the question. We are very pleased with how our gross margin is trending. It came in really strong in Q1. Also, as you mentioned, we guided the Q2 higher at the 56%. I think as we think about the second half quarter-over-quarter, as you know, there are some puts and the takes, right? I would just say from a tailwind perspective, we actually have a multiple tailwinds, really are going to help our gross margin. First, is the server CPU. You know, Lisa talked about the server CPU to expected to grow more than 70% in Q2 and, you know, continue to be really strong in second half. That really helps our gross margin. Secondly, in the second half, gaming actually is going to come down, and our client business actually continue to go up the stack. From a Client and Gaming segment, the gross margin actually is going to be also very helpful, embedded. Actually, it's very accretive to our gross margin. Its momentum actually is continuing in the second half. We're really pleased with all the tailwinds we have. On the other side, MI450 will start to ramp in Q3 and then ramp significantly in Q4. That is below corporate average. That will have different puts and it takes in Q4 in the gross margin side. When we sit here, when we look at all the positive trends we have to really offset some of the gross margin dilution from MI450 side, we actually feel really good about the setup of the gross margin for 2026. Into next year, I think some of the tailwinds I talk about will actually continue. That's why we feel confident about continue to drive the gross margin. We actually, during our Financial Analyst Day, we outlined a long-term gross margin in the range of 55%-58%. We think for the first year, we're making good progress there. The next question comes from the line of Timothy Arcuri with UBS. Please proceed with your question. Thanks a lot. I wanted to ask about units versus ASP for server CPU. If I look at the June guidance, it sort of implies up 25%-30% for server CPU and, you know, Lisa, you had mentioned second half of the year. It sort of implies that server CPU could grow like 70%, you know, maybe a little more this year. I guess my question is, how much of that growth, either in June or for the year, is like units versus pricing? Are these price increases sort of, you know, mostly captured in June, or is that also helping you in the back half of the year? Yeah. Tim, the way I would say it is, maybe let me bring you back to Q1 for a moment. If you look at our significant growth in the server business, it was actually, although we were up on a year-over-year basis, for both ASPs and units, it was actually much more unit driven. We are shipping more CPUs, you know, across not just the high-end, you know, Turin family, but we're actually shipping a lot of Genoas, sort of the Zen core family as well. As we go forward, for Q2 and into the second half, we are, you know, guiding for a significant amount of growth. I think there's a little bit of ASP in there, but, you know, the way we're thinking about pricing, to be fair is, you know, we are in a range where the supply chain is tight. So there are some inflationary pressures, costs have gone up a bit, and we are, you know, sharing some of that with our customers. We are also being very thoughtful in Look, You know, we're playing out for the long term. You know, that means that, Our goal is to ship more units and a lot more units. From that standpoint, you should imagine that the majority of the growth is unit driven and, you know, the ASPs are just really to help cover, you know, some of the inflationary pressures. Just to add what Lisa said, our ASP is increasing because of the mix, where actually each new generation, the core counts, those are increasing. That actually drives the ASP up. Thanks a lot for that. I guess, Lisa, also, there's a lot of new architectures that are being used from, you know, multi-tenancy all the way to low latency and, you know, your competitor has talked about the low latency part of the market being, you know, 20%+, and they of course added to their portfolio there. Can you talk about how you see that part of the market? I mean, obviously you have enough business right now, you don't need to worry about that probably for now, but can you talk about that? Thanks. Yeah, sure. Look, I think what we're seeing is what we expected in the sense that, you know, as you go, you know, as the AI adoption continues, you know, and the volumes, you know, continue to go up and the overall market goes up, you are going to see, let's call it, different compute architectures being used because you want to get more cost optimization from that. We expect that, you know, even in that situation, you know, obviously the vast majority of the TAM is still going to be, you know, let's call it data center GPUs as the primary accelerator. You may choose to do optimization around inference, around, you know, low latency, around, you know, certain parts of the stack, whether it's decode versus prefill. I think that's very natural. The way we look at it is, you know, we're developing a full compute portfolio. That's CPUs, that's GPUs, that's the ability to connect to all accelerators, as well as the ability to do customization for certain customers and we've also talked about, you know, our semi-custom capabilities. With all of those, you know, sort of compute capabilities in our tool chest, I think we will be able to address very effectively a large portion of this market, including, you know, the low latency portion of the market. From our standpoint, this is kind of a natural evolution. How fast it goes depends, you know, a bit on the technology, in terms of, you know, what share of the TAM these things become. We should expect that there will be different variants, and we're well prepared to address those different variants. Thank you. The next question comes from the line of Vivek Arya with Bank of America. Please proceed with your question. Thanks for taking my question. Lisa, do you think agentic CPU growth is incremental, or is it coming at the expense of GPUs conceptually? If you're raising server CPU TAM, are you also implicitly kind of raising AI TAM? Just I'm, you know, interested in your perspective on what did you think a server CPU was as a percentage of AI TAM before and what is it now with this $120 billion number? Sure, Vivek. The way we're thinking about it is it's largely additive to the TAM. You should think about, you know, we need all of the accelerators, you know, to run these, you know, foundational models. As these agents do work, they spawn, you know, more CPU tasks. I would say largely incremental. The key is to make sure, what, you know, we're seeing is in these deployments, the key is to make sure the ratio of CPUs to GPUs are the right ratio. If you're installing a gigawatt of compute, you know, the ratio, the percentage of CPU as part of that gigawatt will increase. You know, some of the conversation in the industry has been about, you know, CPU to GPU ratios. You know, it's very hard to call exactly, but, you know, we certainly see the movement towards, you know, where in the past the CPU to GPU ratio was primarily, you know, just as a host node, you know, in like a 1-to-4 or 1-to-8 configuration. You know, now changing and getting closer to a 1-to-1 configuration or, you know, even, you know, you can even imagine if you get lots and lots of agents that you could have more CPUs than GPUs. You know, all in all, to answer your question, I think it's largely additive to the TAM. You know, the key is that everyone is now planning and thinking about CPUs at the same time that they're thinking about, you know, their accelerator deployments, which is a good thing. Got it. For my follow-up, Lisa, you know, we continue to see memory prices go up. I imagine that is both kind of a cost inflation for you, but perhaps an opportunity to take price as well. I'm curious, how is that dynamic playing out for AMD and especially for your customers? Because, you know, a greater part of their CapEx increase is really kind of this memory inflation tax, right? That they have to pay. How is this dynamic playing out for you and for your customers? The part that I'm really interested in is that have you secured enough supply, you know, versus your other larger competitor who has disclosed a lot of prepayments and other things? Just how is this memory inflation dynamic playing out? You know, are you kind of adequately supplied from that perspective? Sure. Vivek, let me answer the second one first. I think from a supply standpoint, we are very happy with our partnerships with the memory vendors. We have secured enough supply to, you know, certainly meet and exceed our targets. It is a tight memory environment, let me be clear. But I think we are very deep partnerships with the memory providers. Back to your comments on the inflationary pressures. I mean, look, this is something that everyone in the industry is working with. In the time of tight supply, you know, we are seeing some cost increases on the memory side. I think we are all working through that. The way we're seeing it unfold in the market is actually on the data center side. You know, because of the, let's call it, the demand for AI compute, I mean, people are largely, you know, focused on supply and ensuring that the supply assurance is there. The corollary of that, you know, the larger impact that we're watching is, you know, the impact on the consumer markets. You know, as we said in the prepared remarks, you know, we are expecting that there could be, you know, sort of the demand impact as a result of the memory price increases on, you know, things like the PC business in the second half of the year, as well as the gaming business. We're taking that into account in our overall model. You know, we continue to work closely with the memory providers as well as our customers to ensure that, you know, every time we ship a CPU or GPU, that it's paired with the memory on the other side so that we don't have, you know, compute that is not being deployed. The next question comes from the line of Aaron Rakers with Wells Fargo. Please proceed with your question. Yeah, thanks for taking the question, congrats on the results. I wanna stick on the topic of CPU to GPU. As we think about the chart that you had outlined at the Analyst Day, there was obviously broken out between traditional CPUs and then the AI bucket on top of that. Obviously, I think the new forecast has a lot to do with the AI, you know, CPU expansion. I'm just curious, when you're doing a CPU in an AI workload, is there structurally a different level of ASP tied to that kind of CPU optimized for AI relative to a general purpose server CPU? Any kind of color or help on that would be useful. Sure, Aaron. Let me start with the broader question. The broader question, you know, the way we think about the CPU TAM is, think about it as three categories. There is a, you know, traditional, you know, CPUs, let's call it general purpose, CPU, TAM, that, you know, is increasing, but let's call it increasing at, you know, a low rate, maybe, let's call it low double digits. You have your AI head node, which is connecting to accelerators, which is, you know, also growing, but it's smaller. The largest piece of the growth is this agentic AI, you know, piece, which, you know, we think is really stemming from all of the agentic processes. I don't have a number that I can tell you in terms of relative ASPs because it really depends on the workload that is being run. What we see going forward is as core counts increase, we will see ASP increase. That's the direction that we're going in as we go forward. The main point is the largest portion of this is the agentic AI, the CPUs that are serving these agentic AI workloads in terms of the TAM increase. As a quick follow-up, I'm curious, you know, how do you characterize the competitive landscape as we see, you know, some of the Arm introductions in the market? Just curious of your views on the competitive landscape in server CPUs. Thank you. Yeah. Aaron, the best way to think about the server CPU landscape is, you know, again, number one, everyone is talking about CPUs, that tells you how, you know, critical they are for the AI infrastructure. I think that's a good thing. We feel like we're very well positioned. No question, you know, Arm is good architecture. It has a place in the data center market. You know, we view it as more, you know, point products relative to a portfolio where, you know, from an AMD standpoint, we built this, you know, broad portfolio of CPUs going forward, which you're gonna need for all of these different workloads. You know, we have in the Venice timeframe, added an AI optimized, you know, CPU, with Verano in addition to our throughput optimized and, you know, sort of cost optimized points. From that standpoint, I think we're very competitive. We're continuing to innovate on, you know, architecture. We're continuing to innovate on, you know, both advanced packaging as well as, you know, all of the architectural pieces. We feel very well positioned going forward. The key is the TAM is much, much larger than anybody thought, and so there's a lot of opportunity for, you know, for different products to be successful in this area. The next question comes from the line of CJ Muse with Cantor Fitzgerald. Please proceed with your question. Yeah, good afternoon. Thank you for taking the question. I guess first question was hoping to speak a bit more about client for all of calendar 2026. You talked about growth, expected growth, but would love to hear, you know, your thoughts around seasonality in the second half. I'm assuming that you are repurposing certain logic tiles from client over to the data center and would love to kind of better understand what the implications are for ASPs on the client side looking into the second half. Sure. CJ, I think the client business has performed really well for us. I think if we look at, you know, Q1, it actually was a little bit stronger than what we expected. We are seeing some mix shift in the client business. The mix that we're seeing is the, you know, the M&C or the notebook business is actually growing, especially the premium portion. We're making very good progress in the commercial PC arena with our AI PCs. We did see desktops a little bit, you know, softer, just given desktop is a more consumer-focused market. In that market, it's more impacted by, you know, some of the memory pricing and the component price increases. You know, when we look at the full year, our, you know, commentary is, we are planning for, you know, some demand impact in the second half due to the memory pricing. But even in that environment, you know, what we're focused on is ensuring that we continue to make good progress on the commercial business and continuing to focus on the premium segments of the market. So we believe that we will, you know, continue to grow on a year-over-year basis for the client business compared to last year. And as it relates to, you know, ASPs, again, it's a little bit of puts and takes between notebook and desktop. You know, overall, I think we're feeling good about our opportunity to outperform the market in client going forward. Very helpful. That was perfect. Thank you. Okay A question on Instinct gross margins. You know, with compute essentially sold out, and obviously you're building a business, so, you know, one has to be, I guess, conservative on that front. I would think outside of kind of passing through HBM, that, you know, given the very tight wafer environment, that this would be a place where, you know, you could look to drive your Instinct margins closer to your corporate average. How are you thinking about that, you know, either today or, you know, in the coming one, two, three years? Hi. CJ, you know, at this stage, we really focus on drive the top line revenue growth on our Instinct family of products. I think on the gross margin side, you're absolutely right. It's, you know, it's really tied to the demand for compute is tremendous. We actually are very strategic how we think about the how we work with the customers. Of course, different customer also have different gross margin. I think over time, once we start to ramp our revenue, we'll have a lot of opportunities to improve gross margin, both, you know, on the ASP side, but also more importantly, on the cost side when we scale our business. Thank you. The next question comes from the line of Stacy Rasgon with Bernstein Research. Please proceed with your question. Hi, guys. Thanks for taking my questions. For the first one, I just wanted to make sure I have the near term AI GPU trajectory correct. I know you said it was down sequentially in Q1 because of China. You had like $390 million of China revenue in there in Q4. Did the AI business in Q1 actually grow sequentially ex China? It doesn't feel like it, given the server outlook. I look at what's maybe suggested for Q2. I mean, are you thinking GPUs and servers kind of grow similar rate sequentially? It would probably put GPUs in Q2 below the overall level that you were at in Q4, which seems low to me. I'm just trying to tie all that out. Could you help me with that, please? I think, Stacy, appreciate the question. I think if you look at the Q1, we did mention data center AI was down modest base up sequentially, primarily due to lower China revenue in the quarter. I think on your second question regarding Q2, you're right. Both data center AI and the server will grow double digit in Q2. You didn't answer my question. In Q1, did it grow sequentially ex the China step down, I guess, is what I'm asking? The China for our business- In Q1. In Q1, it's not material. I think, I'll repeat what I just said, is that, yeah, the revenue, China revenue in Q1 is not material. Okay, you don't wanna Okay. Second question, OpEx. For spending, but it sort of continues to blow past the targets. You kind of give an OpEx guide and then it blows through it, and then you guide higher. Again, I'm not bothered by the spending. I'm just wondering why is the OpEx been so hard to forecast, and how should we think about OpEx- Yeah. Through the rest of the year Yeah Given the revenue growth? Thanks, Stacy, for that question. I think the most important thing is, given the tremendous market opportunities we have, we actually are investing aggressively. If you look at the past several quarters, we're really leaning in investing. All the AI investments are driving the revenue momentum. If you look at the Q1, revenue was 38% up, Q2 it was, what? We guided 46% up. The investment are driving the revenue momentum. Some of the OpEx increase, of course, is tied to the revenue. When you look at our beat on the revenue side versus our guidance, we did beat on the revenue side, right? That impacted a little bit, but also at the same time, you know, we have a lot of customer engagement with our data center AI business. We do continue to make sure we have the resources to support our different customers. Thank you very much. Operator, I think we have time for one more caller on the call. Thank you. Thank you. Our final question comes from the line of Blaine Curtis with Jefferies. Please proceed with your question. Hey, well, thanks for squeezing me in. Lisa, I just want to go back to the supply side. There was a lot of story about your competitor restarting 7nm. I'm just kind of curious, as you look at that landscape, which is quite robust through the end of the decade, do you think that the older products will stay around longer? Is there a way to think about the implications for gross margin in such a strong market? Is that actually a negative? Actually, Blaine, I don't think we see the older products hanging around longer in our case. I think, you know, it might be company specific stuff. In our case, we actually see, first of all, you know, Turin is very strong. We actually crossed over, you know, 50% of our revenue being Turin this quarter. Genoa is very strong. You know, we're still shipping some Milan, but I would say that's come down over time. In general, people want to use the more the newer products because they're just more, you know, efficient in every aspect, from performance, from cost structure, from, you know, power standpoint. That's what we're seeing. By the way, I should also mention, you know, in addition to, you know, what we're seeing in the Cloud segment of, you know, server, we're seeing really nice, you know, strong pickup in enterprise. There as well, we're seeing our newer products do very well. From, from our standpoint, it is all about, you know, ensuring that, you know, we ship what the customer needs. In this case, it typically is our newer products and, you know, we expect that to continue. As we transition into Venice later this year, we will, you know, expect Turin and Genoa to continue shipping, but there's a lot of goodness in going to the new products. On the supply chain side, I know there's been a lot of discussion about how tight the supply chain is. The supply chain is tight, I would definitely say that, but I also think this is an area where we excel. We have very deep relationships across the supply chain, on the wafer side, on the back end, capacity side, and we are seeing meaningful improvements in that. As our customers come to us with more demand, we are getting more supply. The good thing about this is we're now talking about 2027 CPU demand. We're talking about 2028 CPU demand, that allows us to just plan much better as we go forward. Excellent. Just a quick one for Jean. I'm just curious to follow up on Stacy's question on OpEx. I guess I was a little surprised that SG&A is kinda outpacing R&D. I was just kinda curious, is that startup costs? I mean, 'cause in a strong market, you wouldn't think you would have to discount or have a big sales effort. I'm just kinda curious for the year how you think about R&D growth versus SG&A. I think for the year, you should expect us to grow R&D much faster than SG&A. I think, in the past few quarters, we have been really building our go-to-market machine, and we have been investing more in sales marketing side. Going forward, you should expect the year-over-year growth, R&D will grow faster than SG&A growth. If I just add to that, Blaine, the places that we invest, Jean's absolutely right. We're investing in R&D, ahead of, you know, sales and marketing. The places that we're investing in sales and marketing are paying off. The investments are going into enterprise servers, they're going into commercial PCs, they're going into mid-market, small and medium business. These are places where AMD traditionally didn't invest. Now that, you know, we have a much broader portfolio, both on the server CPU and on the commercial PC side, it makes sense for us to invest because, you know, that's sort of the very best part of those markets. All right. Thank you very much, everybody, for joining and your interest in AMD. John, you can go ahead and close the call now. Thanks. Thank you. Ladies and gentlemen, that does conclude the question and answer session, and that also concludes today's teleconference. We thank you for your participation. Please disconnect your lines and have a wonderful day.

Speaker 8: Greetings and welcome to the AMD first quarter 2026 conference call. I will now turn the conference over to Matt Ramsay, Vice President of Financial Strategy and IR. Thank you, Matt. You may begin. Greetings and welcome to the AMD first quarter 2026 conference call. greetings and welcome to the amd first quarter 2026 conference call I will now turn the conference over to Matt Ramsay, Vice President of Financial Strategy and IR. i will now turn the conference over to matt ramsay vice president of financial strategy and ir Thank you, Matt. thank you matt You may begin. you may begin

Speaker 7: Thank you, and welcome to AMD's first quarter 2026 financial results conference call. By now, you should have had the opportunity to review a copy of our earnings press release and the accompanying slides. If you have not had a chance to review these materials, they can be found on the investor relations page of amd.com. We will refer primarily to non-GAAP financial measures during today's call. Thank you, and welcome to AMD's first quarter 2026 financial results conference call. thank you and welcome to amd's first quarter 2026 financial results conference call By now, you should have had the opportunity to review a copy of our earnings press release and the accompanying slides. by now you should have had the opportunity to review a copy of our earnings press release and the accompanying slides If you have not had a chance to review these materials, they can be found on the investor relations page of amd.com. if you have not had a chance to review these materials they can be found on the investor relations page of amd.com We will refer primarily to non-GAAP financial measures during today's call. we will refer primarily to non-gaap financial measures during today's call The full non-GAAP to GAAP reconciliations are available in today's press release and slides posted on our website. Participants on today's conference call are Dr. Lisa Su, our Chair and CEO, and Jean Hu, Executive Vice President, CFO, and Treasurer. This is a live call and will be replayed via webcast on our website. The full non-GAAP to GAAP reconciliations are available in today's press release and slides posted on our website. the full non-gaap to gaap reconciliations are available in today's press release and slides posted on our website Participants on today's conference call are Dr. Lisa Su, our Chair and CEO, and Jean Hu, Executive Vice President, CFO, and Treasurer. participants on today's conference call are dr lisa su our chair and ceo and jean hu executive vice president cfo and treasurer This is a live call and will be replayed via webcast on our website. this is a live call and will be replayed via webcast on our website Before we begin the call, I would like to note that Jean Hu will present at the Bank of America Global TMT Conference on Tuesday, June 2nd, in San Francisco. Today's discussion contains forward-looking statements based on current beliefs, assumptions, and expectations, speak only as of today, and as such, involve risks and uncertainties that could cause actual results to differ materially from our current expectations. Please refer to our cautionary statement in our press release for more information on factors that could cause actual results to differ materially. With that, I will hand the call over to Lisa. Before we begin the call, I would like to note that Jean Hu will present at the Bank of America Global TMT Conference on Tuesday, June 2nd, in San Francisco. before we begin the call i would like to note that jean hu will present at the bank of america global tmt conference on tuesday june 2nd in san francisco Today's discussion contains forward-looking statements based on current beliefs, assumptions, and expectations, speak only as of today, and as such, involve risks and uncertainties that could cause actual results to differ materially from our current expectations. today's discussion contains forward-looking statements based on current beliefs assumptions and expectations speak only as of today and as such involve risks and uncertainties that could cause actual results to differ materially from our current expectations Please refer to our cautionary statement in our press release for more information on factors that could cause actual results to differ materially. please refer to our cautionary statement in our press release for more information on factors that could cause actual results to differ materially With that, I will hand the call over to Lisa. with that i will hand the call over to lisa

Speaker 6: Thank you, Matt, and good afternoon to all those listening in today. We delivered an outstanding start to the year, driven by accelerating demand for AI infrastructure across our portfolio. Growth was broad-based, with every segment increasing year-over-year, led by 57% data center revenue growth. First quarter revenue increased 38% year-over-year to $10.3 billion. Thank you, Matt, and good afternoon to all those listening in today. thank you matt and good afternoon to all those listening in today We delivered an outstanding start to the year, driven by accelerating demand for AI infrastructure across our portfolio. we delivered an outstanding start to the year driven by accelerating demand for ai infrastructure across our portfolio Growth was broad-based, with every segment increasing year-over-year, led by 57% data center revenue growth. growth was broad-based with every segment increasing year-over-year led by 57% data center revenue growth First quarter revenue increased 38% year-over-year to $10.3 billion. first quarter revenue increased 38% year-over-year to $10.3 billion Earnings grew more than 40% and free cash flow more than tripled to a record $2.6 billion, driven by significantly higher sales of EPYC CPUs, Instinct GPUs, and Ryzen processors. These results mark a clear inflection in our growth trajectory and a structural shift in our business. Data center is now the primary driver of our revenue and earnings growth, and as AI adoption scales, demand is increasing not only for accelerators, but also for the high-performance CPUs that power and orchestrate those workloads. Earnings grew more than 40% and free cash flow more than tripled to a record $2.6 billion, driven by significantly higher sales of EPYC CPUs, Instinct GPUs, and Ryzen processors. earnings grew more than 40% and free cash flow more than tripled to a record $2.6 billion driven by significantly higher sales of epyc cpus instinct gpus and ryzen processors These results mark a clear inflection in our growth trajectory and a structural shift in our business. these results mark a clear inflection in our growth trajectory and a structural shift in our business Data center is now the primary driver of our revenue and earnings growth, and as AI adoption scales, demand is increasing not only for accelerators, but also for the high-performance CPUs that power and orchestrate those workloads. data center is now the primary driver of our revenue and earnings growth and as ai adoption scales demand is increasing not only for accelerators but also for the high-performance cpus that power and orchestrate those workloads Turning to our segments, data center revenue increased 57% year-over-year to a record $5.8 billion, led by strong demand for our EPYC CPUs and Instinct GPUs. In server, we delivered our fourth consecutive quarter of record server CPU revenue. Revenue increased more than 50% year-over-year, with sales to both cloud and enterprise customers each growing more than 50%. Turning to our segments, data center revenue increased 57% year-over-year to a record $5.8 billion, led by strong demand for our EPYC CPUs and Instinct GPUs. turning to our segments data center revenue increased 57% year-over-year to a record $5.8 billion led by strong demand for our epyc cpus and instinct gpus In server, we delivered our fourth consecutive quarter of record server CPU revenue. in server we delivered our fourth consecutive quarter of record server cpu revenue Revenue increased more than 50% year-over-year, with sales to both cloud and enterprise customers each growing more than 50%. revenue increased more than 50% year-over-year with sales to both cloud and enterprise customers each growing more than 50% Share gains accelerated year-over-year, reflecting the ramp of 5th-gen EPYC Turin CPUs and continued strength of 4th-gen EPYC processors across a wide range of workloads. In cloud, AI was the primary driver of growth in the quarter, as every major cloud provider expanded their EPYC footprint to support a broad range of AI workloads, from general purpose compute and data processing to head nodes for accelerators and emerging agentic applications. Share gains accelerated year-over-year, reflecting the ramp of 5th-gen EPYC Turin CPUs and continued strength of 4th-gen EPYC processors across a wide range of workloads. share gains accelerated year-over-year reflecting the ramp of 5th-gen epyc turin cpus and continued strength of 4th-gen epyc processors across a wide range of workloads In cloud, AI was the primary driver of growth in the quarter, as every major cloud provider expanded their EPYC footprint to support a broad range of AI workloads, from general purpose compute and data processing to head nodes for accelerators and emerging agentic applications. in cloud ai was the primary driver of growth in the quarter as every major cloud provider expanded their epyc footprint to support a broad range of ai workloads from general purpose compute and data processing to head nodes for accelerators and emerging agentic applications EPYC-powered cloud instances increased nearly 50% year-over-year to more than 1,600, with instances optimized for virtually every enterprise workload and expanded availability across the largest global cloud providers. In enterprise, demand accelerated with record revenue and record sell-through in the quarter. We expanded our customer base with new wins across financial services, healthcare, industrial, and digital infrastructure companies, while also building momentum with mid-market and SMB customers. EPYC-powered cloud instances increased nearly 50% year-over-year to more than 1,600, with instances optimized for virtually every enterprise workload and expanded availability across the largest global cloud providers. epyc-powered cloud instances increased nearly 50% year-over-year to more than 1,600 with instances optimized for virtually every enterprise workload and expanded availability across the largest global cloud providers In enterprise, demand accelerated with record revenue and record sell-through in the quarter. in enterprise demand accelerated with record revenue and record sell-through in the quarter We expanded our customer base with new wins across financial services, healthcare, industrial, and digital infrastructure companies, while also building momentum with mid-market and SMB customers. we expanded our customer base with new wins across financial services healthcare industrial and digital infrastructure companies while also building momentum with mid-market and smb customers We are well-positioned to continue gaining share as more enterprises standardize on EPYC across on-prem and hybrid environments based on our leadership performance and TCO. Looking ahead, our sixth-gen EPYC Venice processor, built on our Zen 6 architecture and 2nm process technology, is designed to extend our leadership across cloud, enterprise, and AI workloads. We are well-positioned to continue gaining share as more enterprises standardize on EPYC across on-prem and hybrid environments based on our leadership performance and TCO. we are well-positioned to continue gaining share as more enterprises standardize on epyc across on-prem and hybrid environments based on our leadership performance and tco Looking ahead, our sixth-gen EPYC Venice processor, built on our Zen 6 architecture and 2nm process technology, is designed to extend our leadership across cloud, enterprise, and AI workloads. looking ahead our sixth-gen epyc venice processor built on our zen 6 architecture and 2nm process technology is designed to extend our leadership across cloud enterprise and ai workloads The Venice family spans a broad set of CPUs optimized for throughput, performance per watt, and performance per dollar, including Verano, our first EPYC CPU purpose-built for AI infrastructure. Across the portfolio, Venice widens our competitive advantage, delivering substantially higher performance per socket and per watt versus competitive x86 offerings and more than 2x throughput per socket versus leading Arm-based AI solutions. The Venice family spans a broad set of CPUs optimized for throughput, performance per watt, and performance per dollar, including Verano, our first EPYC CPU purpose-built for AI infrastructure. the venice family spans a broad set of cpus optimized for throughput performance per watt and performance per dollar including verano our first epyc cpu purpose-built for ai infrastructure Across the portfolio, Venice widens our competitive advantage, delivering substantially higher performance per socket and per watt versus competitive x86 offerings and more than 2x throughput per socket versus leading Arm-based AI solutions. across the portfolio venice widens our competitive advantage delivering substantially higher performance per socket and per watt versus competitive x86 offerings and more than 2x throughput per socket versus leading arm-based ai solutions Customer demand is very strong, with more customers validating and ramping platforms at this stage than with any prior EPYC generation, and we remain on track to launch Venice later this year. Looking more broadly, we are seeing a meaningful acceleration in customer demand driven by the rapid scaling of AI workloads across both cloud and enterprise. Customer demand is very strong, with more customers validating and ramping platforms at this stage than with any prior EPYC generation, and we remain on track to launch Venice later this year. customer demand is very strong with more customers validating and ramping platforms at this stage than with any prior epyc generation and we remain on track to launch venice later this year Looking more broadly, we are seeing a meaningful acceleration in customer demand driven by the rapid scaling of AI workloads across both cloud and enterprise. looking more broadly we are seeing a meaningful acceleration in customer demand driven by the rapid scaling of ai workloads across both cloud and enterprise Inferencing and agentic AI are increasing the need for server CPU compute, as these workloads require additional CPU processing for orchestration, data movement, and parallel execution, in addition to serving as the head nodes for GPUs and accelerators. As a result, we are seeing both stronger near-term demand and deeper engagement with customers on long-term capacity planning. Inferencing and agentic AI are increasing the need for server CPU compute, as these workloads require additional CPU processing for orchestration, data movement, and parallel execution, in addition to serving as the head nodes for GPUs and accelerators. As a result, we are seeing both stronger near-term demand and deeper engagement with customers on long-term capacity planning. inferencing and agentic ai are increasing the need for server cpu compute as these workloads require additional cpu processing for orchestration data movement and parallel execution in addition to serving as the head nodes for gpus and accelerators. as a result we are seeing both stronger near-term demand and deeper engagement with customers on long-term capacity planning At our Financial Analyst Day in November, we outlined the server CPU market growing at approximately 18% annually over the next three to five years. Based on the demand signals we are seeing today and the structural increase in CPU compute requirements driven by agentic AI, we now expect the server CPU TAM to grow at greater than 35% annually, reaching over $120 billion by 2030. At our Financial Analyst Day in November, we outlined the server CPU market growing at approximately 18% annually over the next three to five years. at our financial analyst day in november we outlined the server cpu market growing at approximately 18% annually over the next three to five years Based on the demand signals we are seeing today and the structural increase in CPU compute requirements driven by agentic AI, we now expect the server CPU TAM to grow at greater than 35% annually, reaching over $120 billion by 2030. based on the demand signals we are seeing today and the structural increase in cpu compute requirements driven by agentic ai we now expect the server cpu tam to grow at greater than 35% annually reaching over $120 billion by 2030 In response to this demand, we are working closely with our supply chain partners to meaningfully increase our wafer and back-end capacities to support this growth. As a result, we now expect server CPU revenue to grow by more than 70% year-over-year in the second quarter, with robust growth continuing through the second half of 2026 and into 2027 as we ramp our next-generation EPYC processors. Now turning to our data center AI business. In response to this demand, we are working closely with our supply chain partners to meaningfully increase our wafer and back-end capacities to support this growth. in response to this demand we are working closely with our supply chain partners to meaningfully increase our wafer and back-end capacities to support this growth As a result, we now expect server CPU revenue to grow by more than 70% year-over-year in the second quarter, with robust growth continuing through the second half of 2026 and into 2027 as we ramp our next-generation EPYC processors. as a result we now expect server cpu revenue to grow by more than 70% year-over-year in the second quarter with robust growth continuing through the second half of 2026 and into 2027 as we ramp our next-generation epyc processors Now turning to our data center AI business. now turning to our data center ai business Revenue grew by a significant double-digit percentage year-over-year as adoption of Instinct accelerates across cloud, enterprise, sovereign, and supercomputing customers. We're seeing strong momentum as customers move from pilots to large-scale production deployments, particularly in inference, where our leadership memory capacity and bandwidth are key advantages. This momentum is driving deeper long-term customer engagements, including large-scale multi-generation deployments. Revenue grew by a significant double-digit percentage year-over-year as adoption of Instinct accelerates across cloud, enterprise, sovereign, and supercomputing customers. revenue grew by a significant double-digit percentage year-over-year as adoption of instinct accelerates across cloud enterprise sovereign and supercomputing customers We're seeing strong momentum as customers move from pilots to large-scale production deployments, particularly in inference, where our leadership memory capacity and bandwidth are key advantages. we're seeing strong momentum as customers move from pilots to large-scale production deployments particularly in inference where our leadership memory capacity and bandwidth are key advantages This momentum is driving deeper long-term customer engagements, including large-scale multi-generation deployments. this momentum is driving deeper long-term customer engagements including large-scale multi-generation deployments A key example is our expanded strategic partnership with Meta to deploy up to 6 GW of AMD Instinct GPUs spanning several product generations. Our agreement includes a custom GPU accelerator based on our MI450 architecture, co-designed to support Meta's next-generation AI workloads. Shipments are on track to begin in the second half of the year, leveraging our Helios rack-scale architecture, which integrates Instinct GPUs with EPYC Venice CPUs to deliver fully optimized high-performance AI infrastructure. A key example is our expanded strategic partnership with Meta to deploy up to 6 GW of AMD Instinct GPUs spanning several product generations. a key example is our expanded strategic partnership with meta to deploy up to 6 gw of amd instinct gpus spanning several product generations Our agreement includes a custom GPU accelerator based on our MI450 architecture, co-designed to support Meta's next-generation AI workloads. our agreement includes a custom gpu accelerator based on our mi450 architecture co-designed to support meta's next-generation ai workloads Shipments are on track to begin in the second half of the year, leveraging our Helios rack- scale architecture, which integrates Instinct GPUs with EPYC Venice CPUs to deliver fully optimized high-performance AI infrastructure. shipments are on track to begin in the second half of the year leveraging our helios rack- scale architecture which integrates instinct gpus with epyc venice cpus to deliver fully optimized high-performance ai infrastructure Together with our previously announced OpenAI partnership, these engagements position AMD as a core partner to the world's largest AI infrastructure builders with deep co-engineering relationships and multi-year visibility into large-scale deployments. More broadly, Instinct adoption continues to expand across AI native and enterprise customers for both training and inference workloads. Together with our previously announced OpenAI partnership, these engagements position AMD as a core partner to the world's largest AI infrastructure builders with deep co-engineering relationships and multi-year visibility into large-scale deployments. together with our previously announced openai partnership these engagements position amd as a core partner to the world's largest ai infrastructure builders with deep co-engineering relationships and multi-year visibility into large-scale deployments More broadly, Instinct adoption continues to expand across AI native and enterprise customers for both training and inference workloads. more broadly instinct adoption continues to expand across ai native and enterprise customers for both training and inference workloads Existing partners are expanding Instinct across broader set of workloads, while a growing number of new partners are deploying production AI workloads on Instinct, highlighting the maturity of our hardware and software stack. On the software front, we continue to make strong progress with ROCm, improving performance, scalability, and enabling customers to reach production faster. In our latest MLPerf results, MI355X delivered strong competitive performance across the full suite with leadership results in multiple categories. Existing partners are expanding Instinct across broader set of workloads, while a growing number of new partners are deploying production AI workloads on Instinct, highlighting the maturity of our hardware and software stack. existing partners are expanding instinct across broader set of workloads while a growing number of new partners are deploying production ai workloads on instinct highlighting the maturity of our hardware and software stack On the software front, we continue to make strong progress with ROCm, improving performance, scalability, and enabling customers to reach production faster. on the software front we continue to make strong progress with rocm improving performance scalability and enabling customers to reach production faster In our latest MLPerf results, MI355X delivered strong competitive performance across the full suite with leadership results in multiple categories. in our latest mlperf results mi355x delivered strong competitive performance across the full suite with leadership results in multiple categories We also expanded day zero support for the leading open models, including the latest Google Gemma 4 family, Qwen, Kimi, and others, enabling customers to deploy new models quickly with optimized performance. To build on this momentum, we have significantly accelerated our ROCm development cadence through increased software investments and agent-based coding workflows, enabling faster performance improvements and more rapid deployment of new capabilities. We also expanded day zero support for the leading open models, including the latest Google Gemma 4 family, Qwen, Kimi, and others, enabling customers to deploy new models quickly with optimized performance. we also expanded day zero support for the leading open models including the latest google gemma 4 family qwen kimi and others enabling customers to deploy new models quickly with optimized performance To build on this momentum, we have significantly accelerated our ROCm development cadence through increased software investments and agent-based coding workflows, enabling faster performance improvements and more rapid deployment of new capabilities. to build on this momentum we have significantly accelerated our rocm development cadence through increased software investments and agent-based coding workflows enabling faster performance improvements and more rapid deployment of new capabilities Looking ahead, customer pull for Helios is very strong, driven by our leadership performance, memory bandwidth, and scale-out capacity. Helios development is progressing well with strong execution across silicon, software, and systems as we advance through key milestones. We have begun sampling MI450 series GPUs to lead customers and remain on track to ramp Helios production shipments in the second half of the year. Looking ahead, customer pull for Helios is very strong, driven by our leadership performance, memory bandwidth, and scale-out capacity. looking ahead customer pull for helios is very strong driven by our leadership performance memory bandwidth and scale-out capacity Helios development is progressing well with strong execution across silicon, software, and systems as we advance through key milestones. helios development is progressing well with strong execution across silicon software and systems as we advance through key milestones We have begun sampling MI450 series GPUs to lead customers and remain on track to ramp Helios production shipments in the second half of the year. we have begun sampling mi450 series gpus to lead customers and remain on track to ramp helios production shipments in the second half of the year As we approach production, demand for MI450 series GPUs continues to strengthen, with lead customer forecasts now exceeding our initial plans and a growing number of new customers engaging on large-scale deployments, including additional multi-gigawatt opportunities. With this expanded visibility, we have strong and increasing confidence in our ability to deliver tens of billions of dollars in annual data center AI revenue in 2027 and to exceed our long-term growth target of greater than 80% in the coming years. As we approach production, demand for MI450 series GPUs continues to strengthen, with lead customer forecasts now exceeding our initial plans and a growing number of new customers engaging on large-scale deployments, including additional multi-gigawatt opportunities. as we approach production demand for mi450 series gpus continues to strengthen with lead customer forecasts now exceeding our initial plans and a growing number of new customers engaging on large-scale deployments including additional multi-gigawatt opportunities With this expanded visibility, we have strong and increasing confidence in our ability to deliver tens of billions of dollars in annual data center AI revenue in 2027 and to exceed our long-term growth target of greater than 80% in the coming years. with this expanded visibility we have strong and increasing confidence in our ability to deliver tens of billions of dollars in annual data center ai revenue in 2027 and to exceed our long-term growth target of greater than 80% in the coming years I look forward to sharing more on our next-generation Instinct GPUs, EPYC processors, Helios rack-scale platform, and our growing customer engagements at our Advancing AI event in July. Turning to Client and Gaming, segment revenue increased 23% year-over-year to $3.6 billion. I look forward to sharing more on our next-generation Instinct GPUs, EPYC processors, Helios rack-scale platform, and our growing customer engagements at our Advancing AI event in July. i look forward to sharing more on our next-generation instinct gpus epyc processors helios rack-scale platform and our growing customer engagements at our advancing ai event in july Turning to Client and Gaming, segment revenue increased 23% year-over-year to $3.6 billion. turning to client and gaming segment revenue increased 23% year-over-year to $3.6 billion In client, revenue grew 26% year-over-year to $2.9 billion, led by strong sales of our latest Ryzen processors and continued share gains across consumer and commercial markets. In desktop, we strengthened our Ryzen lineup, including our latest X3D processors that deliver leadership performance across gaming, content creation, and professional workloads. We also introduced the Ryzen AI 400 series and Ryzen AI Pro 400 series desktop CPUs, extending our AI PC offerings across both consumer and commercial systems. In client, revenue grew 26% year-over-year to $2.9 billion, led by strong sales of our latest Ryzen processors and continued share gains across consumer and commercial markets. in client revenue grew 26% year-over-year to $2.9 billion led by strong sales of our latest ryzen processors and continued share gains across consumer and commercial markets In desktop, we strengthened our Ryzen lineup, including our latest X3D processors that deliver leadership performance across gaming, content creation, and professional workloads. in desktop we strengthened our ryzen lineup including our latest x3d processors that deliver leadership performance across gaming content creation and professional workloads We also introduced the Ryzen AI 400 series and Ryzen AI Pro 400 series desktop CPUs, extending our AI PC offerings across both consumer and commercial systems. we also introduced the ryzen ai 400 series and ryzen ai pro 400 series desktop cpus extending our ai pc offerings across both consumer and commercial systems In mobile, we delivered strong growth driven by a richer product mix as Ryzen 400 mobile PC shipments ramped and commercial adoption increased. Commercial was a key highlight in the quarter, with sell-through of Ryzen PRO PCs increasing more than 50% year-over-year as Dell, HP, and Lenovo broadened their AMD offerings. We also closed new enterprise wins across large technology, financial services, healthcare, and aerospace customers. In mobile, we delivered strong growth driven by a richer product mix as Ryzen 400 mobile PC shipments ramped and commercial adoption increased. in mobile we delivered strong growth driven by a richer product mix as ryzen 400 mobile pc shipments ramped and commercial adoption increased Commercial was a key highlight in the quarter, with sell-through of Ryzen PRO PCs increasing more than 50% year-over-year as Dell, HP, and Lenovo broadened their AMD offerings. commercial was a key highlight in the quarter with sell-through of ryzen pro pcs increasing more than 50% year-over-year as dell hp and lenovo broadened their amd offerings We also closed new enterprise wins across large technology, financial services, healthcare, and aerospace customers. we also closed new enterprise wins across large technology financial services healthcare and aerospace customers Looking ahead, we expect demand for our Ryzen CPUs to remain solid in the second quarter. We are planning for second half PC shipments to be lower due to higher memory and component costs. Against this backdrop, we still expect our client revenue to grow year-over-year and outperform the market, driven by the strength of our Ryzen portfolio and expanding commercial adoption. In gaming, revenue increased 11% year-over-year to $720 million. Looking ahead, we expect demand for our Ryzen CPUs to remain solid in the second quarter. looking ahead we expect demand for our ryzen cpus to remain solid in the second quarter We are planning for second half PC shipments to be lower due to higher memory and component costs. we are planning for second half pc shipments to be lower due to higher memory and component costs Against this backdrop, we still expect our client revenue to grow year-over-year and outperform the market, driven by the strength of our Ryzen portfolio and expanding commercial adoption. against this backdrop we still expect our client revenue to grow year-over-year and outperform the market driven by the strength of our ryzen portfolio and expanding commercial adoption In gaming, revenue increased 11% year-over-year to $720 million. in gaming revenue increased 11% year-over-year to $720 million Semi-custom revenue declined year-over-year as expected at this stage of the console cycle, while engagements with customers on next generation platforms remain strong. In graphics, revenue increased year-over-year, led by demand for our latest generation Radeon 9000 series GPUs. We also strengthened our Radeon portfolio with updates to our FSR software that improved performance and visual quality across a broad set of gaming workloads. Semi-custom revenue declined year-over-year as expected at this stage of the console cycle, while engagements with customers on next generation platforms remain strong. semi-custom revenue declined year-over-year as expected at this stage of the console cycle while engagements with customers on next generation platforms remain strong In graphics, revenue increased year-over-year, led by demand for our latest generation Radeon 9000 series GPUs. in graphics revenue increased year-over-year led by demand for our latest generation radeon 9000 series gpus We also strengthened our Radeon portfolio with updates to our FSR software that improved performance and visual quality across a broad set of gaming workloads. we also strengthened our radeon portfolio with updates to our fsr software that improved performance and visual quality across a broad set of gaming workloads Similar to the PC market, we believe that second half demand in gaming will be impacted by higher memory and component costs, and we are planning the business accordingly. Turning to our Embedded segment, revenue increased 6% year-over-year to $873 million, driven by strength in test, measurement and emulation, aerospace and defense and communications, as well as increased adoption of our embedded x86 products. Similar to the PC market, we believe that second half demand in gaming will be impacted by higher memory and component costs, and we are planning the business accordingly. similar to the pc market we believe that second half demand in gaming will be impacted by higher memory and component costs and we are planning the business accordingly Turning to our Embedded segment, revenue increased 6% year-over-year to $873 million, driven by strength in test, measurement and emulation, aerospace and defense and communications, as well as increased adoption of our embedded x86 products. turning to our embedded segment revenue increased 6% year-over-year to $873 million driven by strength in test measurement and emulation aerospace and defense and communications as well as increased adoption of our embedded x86 products Design win momentum grew by a double-digit percentage year-over-year with billions of dollars in new wins across markets, reflecting the continued expansion of our embedded business from a primarily FPGA-focused portfolio to a broader set of adaptive embedded x86 and semi-custom solutions, significantly expanding our TAM. Our semi-custom engagements also expanded in the quarter as data center, communications and other embedded customers leverage our broad IP portfolio and high-performance expertise to build differentiated solutions. Design win momentum grew by a double-digit percentage year-over-year with billions of dollars in new wins across markets, reflecting the continued expansion of our embedded business from a primarily FPGA-focused portfolio to a broader set of adaptive embedded x86 and semi-custom solutions, significantly expanding our TAM. design win momentum grew by a double-digit percentage year-over-year with billions of dollars in new wins across markets reflecting the continued expansion of our embedded business from a primarily fpga-focused portfolio to a broader set of adaptive embedded x86 and semi-custom solutions significantly expanding our tam Our semi-custom engagements also expanded in the quarter as data center, communications and other embedded customers leverage our broad IP portfolio and high-performance expertise to build differentiated solutions. our semi-custom engagements also expanded in the quarter as data center communications and other embedded customers leverage our broad ip portfolio and high-performance expertise to build differentiated solutions In summary, our first quarter results mark a clear step up in our growth trajectory with accelerating momentum across the business. Our client business continues to outperform the market, driven by rising adoption and share gains, while in embedded, design win momentum and demand are strengthening across our expanded adaptive and x86 portfolio. In summary, our first quarter results mark a clear step up in our growth trajectory with accelerating momentum across the business. in summary our first quarter results mark a clear step up in our growth trajectory with accelerating momentum across the business Our client business continues to outperform the market, driven by rising adoption and share gains, while in embedded, design win momentum and demand are strengthening across our expanded adaptive and x86 portfolio. our client business continues to outperform the market driven by rising adoption and share gains while in embedded design win momentum and demand are strengthening across our expanded adaptive and x86 portfolio At the same time, our data center business is inflecting with strong demand for both EPYC and Instinct products driving significant growth. While we are still in the early stages of the AI infrastructure cycle, the pace and scale of deployments we are seeing today reinforce both the magnitude and durability of the opportunity ahead. As inferencing and agentic AI deployments scale, they are fundamentally increasing compute requirements, driving both larger scale accelerator deployments and significantly more CPU compute. At the same time, our data center business is inflecting with strong demand for both EPYC and Instinct products driving significant growth. at the same time our data center business is inflecting with strong demand for both epyc and instinct products driving significant growth While we are still in the early stages of the AI infrastructure cycle, the pace and scale of deployments we are seeing today reinforce both the magnitude and durability of the opportunity ahead. while we are still in the early stages of the ai infrastructure cycle the pace and scale of deployments we are seeing today reinforce both the magnitude and durability of the opportunity ahead As inferencing and agentic AI deployments scale, they are fundamentally increasing compute requirements, driving both larger scale accelerator deployments and significantly more CPU compute. as inferencing and agentic ai deployments scale they are fundamentally increasing compute requirements driving both larger scale accelerator deployments and significantly more cpu compute AMD is uniquely positioned to lead in this next phase of AI with leadership products across high-performance server CPUs and AI accelerators, and the ability to optimize them together as fully integrated rack-scale solutions. We have a world-class supply chain and are making significant investments to expand capacity and execute at scale. AMD is uniquely positioned to lead in this next phase of AI with leadership products across high-performance server CPUs and AI accelerators, and the ability to optimize them together as fully integrated rack- scale solutions. amd is uniquely positioned to lead in this next phase of ai with leadership products across high-performance server cpus and ai accelerators and the ability to optimize them together as fully integrated rack- scale solutions We have a world-class supply chain and are making significant investments to expand capacity and execute at scale. we have a world-class supply chain and are making significant investments to expand capacity and execute at scale With the momentum we are seeing across the business and the expanding market opportunity, we see a clear path to exceed our long-term financial targets, including delivering more than $20 in EPS over the strategic timeframe. Now I will turn the call over to Jean to provide additional color on our first quarter results. Jean. With the momentum we are seeing across the business and the expanding market opportunity, we see a clear path to exceed our long-term financial targets, including delivering more than $20 in EPS over the strategic timeframe. with the momentum we are seeing across the business and the expanding market opportunity we see a clear path to exceed our long-term financial targets including delivering more than $20 in eps over the strategic timeframe Now I will turn the call over to Jean to provide additional color on our first quarter results. now i will turn the call over to jean to provide additional color on our first quarter results Jean. jean

Speaker 4: Thank you, Lisa. Good afternoon, everyone. I'll start with the review of our first quarter financial results. Then provide our current outlook for the second quarter of fiscal 2026. We are pleased with our outstanding first quarter results, delivering accelerated revenue growth and earnings expansion driven by strong execution and operating leverage. First quarter revenue was $10.3 billion, exceeding the high end of our guidance, growing 38% year-over-year, driven by strong growth in the Data Center and Client and Gaming segments, and a return to growth in the Embedded segment. Revenue was flat sequentially with continued growth in the Data Center segment, offset by seasonality in the Client and Gaming segment and the Embedded segment. Thank you, Lisa. thank you lisa Good afternoon, everyone. good afternoon everyone I'll start with the review of our first quarter financial results. i'll start with the review of our first quarter financial results Then provide our current outlook for the second quarter of fiscal 2026. then provide our current outlook for the second quarter of fiscal 2026 We are pleased with our outstanding first quarter results, delivering accelerated revenue growth and earnings expansion driven by strong execution and operating leverage. we are pleased with our outstanding first quarter results delivering accelerated revenue growth and earnings expansion driven by strong execution and operating leverage First quarter revenue was $10.3 billion, exceeding the high end of our guidance, growing 38% year-over-year, driven by strong growth in the Data Center and Client and Gaming segments, and a return to growth in the Embedded segment. first quarter revenue was $10.3 billion exceeding the high end of our guidance growing 38% year-over-year driven by strong growth in the data center and client and gaming segments and a return to growth in the embedded segment Revenue was flat sequentially with continued growth in the Data Center segment, offset by seasonality in the Client and Gaming segment and the Embedded segment. revenue was flat sequentially with continued growth in the data center segment offset by seasonality in the client and gaming segment and the embedded segment Gross margin was 55%, up 170 basis points versus a year ago, driven by a favorable product mix, including a higher Data Center revenue contribution. Operating expenses were $3.1 billion, an increase of 42% year-over-year as we continue to invest in R&D to support our AI roadmap and the long-term growth opportunities and go-to-market activities. As the business scales, operating income grew faster than top-line revenue. Operating income was $2.5 billion, representing a 25% operating margin. Taxes, interest, and other resulting in a net expense of approximately $275 million. For the quarter, diluted earnings per share was $1.37, up 43% year-over-year, underscoring the significant operating leverage in our model as we scale. Now turning to our reportable segment, starting with the Data Center Segment. Gross margin was 55%, up 170 basis points versus a year ago, driven by a favorable product mix, including a higher Data Center revenue contribution. gross margin was 55% up 170 basis points versus a year ago driven by a favorable product mix including a higher data center revenue contribution Operating expenses were $3.1 billion, an increase of 42% year-over-year as we continue to invest in R&D to support our AI roadmap and the long-term growth opportunities and go-to-market activities. operating expenses were $3.1 billion an increase of 42% year-over-year as we continue to invest in r&d to support our ai roadmap and the long-term growth opportunities and go-to-market activities As the business scales, operating income grew faster than top-line revenue. as the business scales operating income grew faster than top-line revenue Operating income was $2.5 billion, representing a 25% operating margin. operating income was $2.5 billion representing a 25% operating margin Taxes, interest, and other resulting in a net expense of approximately $275 million. taxes interest and other resulting in a net expense of approximately $275 million For the quarter, diluted earnings per share was $1.37, up 43% year-over-year, underscoring the significant operating leverage in our model as we scale. for the quarter diluted earnings per share was $1.37 up 43% year-over-year underscoring the significant operating leverage in our model as we scale Now turning to our reportable segment, starting with the Data Center Segment. now turning to our reportable segment starting with the data center segment Revenue was a record $5.8 billion, up 57% year-over-year and 7% sequentially, driven by strong demand for EPYC processors and the continued ramp of Instinct GPUs. Data Center segment operating income was $1.6 billion or 28% of revenue compared to $932 million or 25% a year ago. Client and Gaming segment revenue was $3.6 billion, up 23% year-over-year. On a sequential basis, revenue was down 9%, consistent with the seasonality. The client business revenue was $2.9 billion, up 26% year-over-year, driven by strong demand for our latest Ryzen processors, favorable product mix, and continued share gains across consumer and commercial markets. Sequentially, client revenue was down 7% due to seasonality. Revenue was a record $5.8 billion, up 57% year-over-year and 7% sequentially, driven by strong demand for EPYC processors and the continued ramp of Instinct GPUs. Data Center segment operating income was $1.6 billion or 28% of revenue compared to $932 million or 25% a year ago. revenue was a record $5.8 billion up 57% year-over-year and 7% sequentially driven by strong demand for epyc processors and the continued ramp of instinct gpus. data center segment operating income was $1.6 billion or 28% of revenue compared to $932 million or 25% a year ago Client and Gaming segment revenue was $3.6 billion, up 23% year-over-year. client and gaming segment revenue was $3.6 billion up 23% year-over-year On a sequential basis, revenue was down 9%, consistent with the seasonality. on a sequential basis revenue was down 9% consistent with the seasonality The client business revenue was $2.9 billion, up 26% year-over-year, driven by strong demand for our latest Ryzen processors, favorable product mix, and continued share gains across consumer and commercial markets. the client business revenue was $2.9 billion up 26% year-over-year driven by strong demand for our latest ryzen processors favorable product mix and continued share gains across consumer and commercial markets Sequentially, client revenue was down 7% due to seasonality. sequentially client revenue was down 7% due to seasonality The gaming business revenue was $720 million, up 11% year-over-year, primarily driven by higher demand for Radeon GPUs, partially offset by lower semi-customer revenue. Sequentially, gaming revenue was down 15%, consistent with our expectations. In addition, as Lisa mentioned earlier, we expect second half demand in gaming to be impacted by higher memory and component costs. We now expect second half gaming revenue to decline more than 20% compared to the first half. Client and Gaming segment operating income was $575 million or 16% of revenue, compared to $496 million or 17% a year ago. Embedded segment revenue was $873 million, up 6% year-over-year as demand strengthened across several end markets. Sequentially, embedded revenue was seasonally down 8%. The gaming business revenue was $720 million, up 11% year-over-year, primarily driven by higher demand for Radeon GPUs, partially offset by lower semi-customer revenue. the gaming business revenue was $720 million up 11% year-over-year primarily driven by higher demand for radeon gpus partially offset by lower semi-customer revenue Sequentially, gaming revenue was down 15%, consistent with our expectations. sequentially gaming revenue was down 15% consistent with our expectations In addition, as Lisa mentioned earlier, we expect second half demand in gaming to be impacted by higher memory and component costs. in addition as lisa mentioned earlier we expect second half demand in gaming to be impacted by higher memory and component costs We now expect second half gaming revenue to decline more than 20% compared to the first half. we now expect second half gaming revenue to decline more than 20% compared to the first half Client and Gaming segment operating income was $575 million or 16% of revenue, compared to $496 million or 17% a year ago. client and gaming segment operating income was $575 million or 16% of revenue compared to $496 million or 17% a year ago Embedded segment revenue was $873 million, up 6% year-over-year as demand strengthened across several end markets. embedded segment revenue was $873 million up 6% year-over-year as demand strengthened across several end markets Sequentially, embedded revenue was seasonally down 8%. sequentially embedded revenue was seasonally down 8% Embedded segment operating income was $338 million or 39% of revenue, compared to $328 million or 40% a year ago. Turning to the balance sheet and the cash flow. During the quarter, we generated $3 billion in cash from continuing operations and a record $2.6 billion in free cash flow or 25% of revenue, demonstrating the cash generating power of our business model. Inventory was roughly flat at $8 billion. At the end of the quarter, cash equivalents and short-term investment were $12.3 billion. In the quarter, we repurchased 1.1 million shares and returned $221 million to shareholders. We ended the quarter with $9.2 billion authorization remaining under our share repurchase program. Turning to our second quarter 2026 outlook. Embedded segment operating income was $338 million or 39% of revenue, compared to $328 million or 40% a year ago. embedded segment operating income was $338 million or 39% of revenue compared to $328 million or 40% a year ago Turning to the balance sheet and the cash flow. turning to the balance sheet and the cash flow During the quarter, we generated $3 billion in cash from continuing operations and a record $2.6 billion in free cash flow or 25% of revenue, demonstrating the cash generating power of our business model. during the quarter we generated $3 billion in cash from continuing operations and a record $2.6 billion in free cash flow or 25% of revenue demonstrating the cash generating power of our business model Inventory was roughly flat at $8 billion. inventory was roughly flat at $8 billion At the end of the quarter, cash equivalents and short-term investment were $12.3 billion. at the end of the quarter cash equivalents and short-term investment were $12.3 billion In the quarter, we repurchased 1.1 million shares and returned $221 million to shareholders. in the quarter we repurchased 1.1 million shares and returned $221 million to shareholders We ended the quarter with $9.2 billion authorization remaining under our share repurchase program. we ended the quarter with $9.2 billion authorization remaining under our share repurchase program Turning to our second quarter 2026 outlook. turning to our second quarter 2026 outlook We expect revenue to be approximately $11.2 billion ± $300 million. At the middle point of our guidance, revenue is expected to be up 46% year-over-year, driven by very strong growth in our Data Center segment, growth in our Client and Gaming segment, and a double-digit growth in our Embedded segment. Sequentially, we expect revenue to be up approximately 9%, driven by double-digit growth in both our Data Center and Embedded segments, and a modest growth in our Client and Gaming segment. In addition, we expect second quarter non-GAAP gross margin to be approximately 56%. Non-GAAP operating expenses to be approximately $3.3 billion. Non-GAAP other income and expense to be again of approximately $60 million. We expect revenue to be approximately $11.2 billion ± $300 million. we expect revenue to be approximately $11.2 billion ± $300 million At the middle point of our guidance, revenue is expected to be up 46% year-over-year, driven by very strong growth in our Data Center segment, growth in our Client and G aming segment, and a double-digit growth in our Embedded segment. at the middle point of our guidance revenue is expected to be up 46% year-over-year driven by very strong growth in our data center segment growth in our client and g aming segment and a double-digit growth in our embedded segment Sequentially, we expect revenue to be up approximately 9%, driven by double-digit growth in both our Data Center and E mbedded segments, and a modest growth in our Client and Gaming segment. sequentially we expect revenue to be up approximately 9% driven by double-digit growth in both our data center and e mbedded segments and a modest growth in our client and gaming segment In addition, we expect second quarter non-GAAP gross margin to be approximately 56%. in addition we expect second quarter non-gaap gross margin to be approximately 56% Non-GAAP operating expenses to be approximately $3.3 billion. non-gaap operating expenses to be approximately $3.3 billion Non-GAAP other income and expense to be again of approximately $60 million. non-gaap other income and expense to be again of approximately $60 million Non-GAAP effective tax rate to be 13%, and the diluted share count is expected to be approximately 1.66 billion shares. In closing, the first quarter of 2026 was an outstanding quarter for AMD, reflecting strong momentum across the business with accelerated revenue and earnings expansion. We are very well positioned to build on the momentum as we scale our Data Center business, expand margins, drive continued earnings growth and long-term shareholder value creation. With that, I'll turn it back to Matt for the Q&A session. Non-GAAP effective tax rate to be 13%, and the diluted share count is expected to be approximately 1.66 billion shares. non-gaap effective tax rate to be 13% and the diluted share count is expected to be approximately 1.66 billion shares In closing, the first quarter of 2026 was an outstanding quarter for AMD, reflecting strong momentum across the business with accelerated revenue and earnings expansion. in closing the first quarter of 2026 was an outstanding quarter for amd reflecting strong momentum across the business with accelerated revenue and earnings expansion We are very well positioned to build on the momentum as we scale our Data Center business, expand margins, drive continued earnings growth and long-term shareholder value creation. we are very well positioned to build on the momentum as we scale our data center business expand margins drive continued earnings growth and long-term shareholder value creation With that, I'll turn it back to Matt for the Q&A session. with that i'll turn it back to matt for the q&a session

Speaker 7: Thank you, Jean. Operator, we're ready to start the Q&A session now. I would ask the callers to limit yourself to one question and one brief follow-up. Please go ahead and poll for questions. Thank you. Thank you, Jean. thank you jean Operator, we're ready to start the Q&A session now. operator we're ready to start the q&a session now I would ask the callers to limit yourself to one question and one brief follow-up. i would ask the callers to limit yourself to one question and one brief follow-up Please go ahead and poll for questions. please go ahead and poll for questions Thank you. thank you

Speaker 8: Thank you, Matt. We will now be conducting a question and answer session. If you would like to ask a question, please press star one on your telephone keypad. A confirmation tone will indicate that your line is in the queue. You may press star two if you'd like to remove a question from the queue. For participants using speaker equipment, it may be necessary to pick up your handset before pressing the star keys. We ask that you please limit yourself to one question and one follow-up. Thank you. One moment please, while we poll for questions. The first question comes from the line of Joshua Buchalter with TD Cowen. Please proceed with your question. Thank you, Matt. thank you matt We will now be conducting a question and answer session. we will now be conducting a question and answer session If you would like to ask a question, please press star one on your telephone keypad. if you would like to ask a question please press star one on your telephone keypad A confirmation tone will indicate that your line is in the queue. a confirmation tone will indicate that your line is in the queue You may press star two if you'd like to remove a question from the queue. you may press star two if you'd like to remove a question from the queue For participants using speaker equipment, it may be necessary to pick up your handset before pressing the star keys. for participants using speaker equipment it may be necessary to pick up your handset before pressing the star keys We ask that you please limit yourself to one question and one follow-up. we ask that you please limit yourself to one question and one follow-up Thank you. thank you One moment please, while we poll for questions. one moment please while we poll for questions The first question comes from the line of Joshua Buchalter with TD Cowen. the first question comes from the line of joshua buchalter with td cowen Please proceed with your question. please proceed with your question

Speaker 5: Hey, guys. Congrats on the results and thanks for taking my question. Actually going to start with CPUs, which hasn't happened in a bit. You know, it hasn't been that long since you announced the $60 billion server CPU TAM for 2030 at the Analyst Day, and it's very quickly doubled. Agentic AI has obviously gotten a lot of attention in recent months, but would be helpful to hear your thoughts on how this TAM is inflecting and changing so meaningfully in such a short amount of time. Maybe you could also speak to your confidence in hitting that greater than 50% share target from the Analyst Day as your x86 competitor seems to be, you know, improving its supply and also there seems to be more momentum on the merchant and custom Arm CPU side. Thank you. Hey, guys. hey guys Congrats on the results and thanks for taking my question. congrats on the results and thanks for taking my question Actually going to start with CPUs, which hasn't happened in a bit. actually going to start with cpus which hasn't happened in a bit You know, it hasn't been that long since you announced the $60 billion server CPU TAM for 2030 at the Analyst Day, and it's very quickly doubled. you know it hasn't been that long since you announced the $60 billion server cpu tam for 2030 at the analyst day and it's very quickly doubled Agentic AI has obviously gotten a lot of attention in recent months, but would be helpful to hear your thoughts on how this TAM is inflecting and changing so meaningfully in such a short amount of time. agentic ai has obviously gotten a lot of attention in recent months but would be helpful to hear your thoughts on how this tam is inflecting and changing so meaningfully in such a short amount of time Maybe you could also speak to your confidence in hitting that greater than 50% share target from the Analyst Day as your x86 competitor seems to be, you know, improving its supply and also there seems to be more momentum on the merchant and custom Arm CPU side. maybe you could also speak to your confidence in hitting that greater than 50% share target from the analyst day as your x86 competitor seems to be you know improving its supply and also there seems to be more momentum on the merchant and custom arm cpu side Thank you. thank you

Speaker 6: Yeah, sure, Josh. Thanks for the question. You know, first of all, when we think about CPU TAM, I mean, we've always said that CPUs are a very critical part of data center infrastructure, and, you know, that's been where we've invested. We saw the first signs of, let's call it AI demand, really pulling CPU demand, you know, last year. That was the reason we updated the TAM to, let's call it the 18% CAGR, approximately $60 billion. You know, what we've seen is, you know, all of the things that we believed in terms of, you know, agentic AI and inferencing and all the CPU compute that is required, is just happening, and it's happening at a much faster pace. Yeah, sure, Josh. yeah sure josh Thanks for the question. thanks for the question You know, first of all, when we think about CPU TAM, I mean, we've always said that CPUs are a very critical part of data center infrastructure, and, you know, that's been where we've invested. you know first of all when we think about cpu tam i mean we've always said that cpus are a very critical part of data center infrastructure and you know that's been where we've invested We saw the first signs of, let's call it AI demand, really pulling CPU demand, you know, last year. we saw the first signs of let's call it ai demand really pulling cpu demand you know last year That was the reason we updated the TAM to, let's call it the 18% CAGR, approximately $60 billion. that was the reason we updated the tam to let's call it the 18% cagr approximately $60 billion You know, what we've seen is, you know, all of the things that we believed in terms of, you know, agentic AI and inferencing and all the CPU compute that is required, is just happening, and it's happening at a much faster pace. you know what we've seen is you know all of the things that we believed in terms of you know agentic ai and inferencing and all the cpu compute that is required is just happening and it's happening at a much faster pace You know, over the last few months, as we've talked to our customers and we've seen how AI adoption is really unfolding, you know, we're seeing significantly more CPU demand from really every major cloud provider as well as enterprise customers. You know, the way that comes across is as AI adoption scales, you need more inferencing. As inferencing scales, you know, you have more agents and agentic AI, they all require CPUs for you know, all of the orchestration and the data processing and these other tasks. You know, over the last few months, as we've talked to our customers and we've seen how AI adoption is really unfolding, you know, we're seeing significantly more CPU demand from really every major cloud provider as well as enterprise customers. you know over the last few months as we've talked to our customers and we've seen how ai adoption is really unfolding you know we're seeing significantly more cpu demand from really every major cloud provider as well as enterprise customers You know, the way that comes across is as AI adoption scales, you need more inferencing. you know the way that comes across is as ai adoption scales you need more inferencing As inferencing scales, you know, you have more agents and agentic AI, they all require CPUs for you know, all of the orchestration and the data processing and these other tasks. as inferencing scales you know you have more agents and agentic ai they all require cpus for you know all of the orchestration and the data processing and these other tasks You know, with that, we've looked at it both, you know, bottoms up, you know, in terms of talking to customers and having them, you know, give us longer term forecasts, as well as just doing, some, you know, clear workload analysis. Yeah, I mean, it's a very exciting TAM. I think it's exciting to see, you know, CPUs growing, you know, greater than 35%, to, you know, over $120 billion. You know, when you think about, you know, AMD in the context of that, I mean, you know, CPUs are critical for so many tasks that you are seeing, a lot more discussion about CPUs in the market. We actually, you know, view it in three categories, right? You know, with that, we've looked at it both, you know, bottoms up, you know, in terms of talking to customers and having them, you know, give us longer term forecasts, as well as just doing, some, you know, clear workload analysis. you know with that we've looked at it both you know bottoms up you know in terms of talking to customers and having them you know give us longer term forecasts as well as just doing some you know clear workload analysis Yeah, I mean, it's a very exciting TAM. yeah i mean it's a very exciting tam I think it's exciting to see, you know, CPUs growing, you know, greater than 35%, to, you know, over $120 billion. i think it's exciting to see you know cpus growing you know greater than 35% to you know over $120 billion You know, when you think about, you know, AMD in the context of that, I mean, you know, CPUs are critical for so many tasks that you are seeing, a lot more discussion about CPUs in the market. you know when you think about you know amd in the context of that i mean you know cpus are critical for so many tasks that you are seeing a lot more discussion about cpus in the market We actually, you know, view it in three categories, right? we actually you know view it in three categories right There's general purpose compute, there's the head nodes that really, you know, support the AI accelerators, and then, you know, there are CPUs just for all of the agentic AI at work. You know, to do all of this, you know, our belief is you need a broad portfolio of CPUs, and that's really what we have been focused on, is building, you know, not just, you know, one type, but really a broader in terms of, you know, throughput optimized, power optimized, cost optimized, you know, AI infrastructure optimized, as we've done in the Venice family. You know, when you put all that together, we're very excited about the larger TAM and, we're also, you know, very happy with the traction that we're getting. There's general purpose compute, there's the head nodes that really, you know, support the AI accelerators, and then, you know, there are CPUs just for all of the agentic AI at work. there's general purpose compute there's the head nodes that really you know support the ai accelerators and then you know there are cpus just for all of the agentic ai at work You know, to do all of this, you know, our belief is you need a broad portfolio of CPUs, and that's really what we have been focused on, is building, you know, not just, you know, one type, but really a broader in terms of, you know, throughput optimized, power optimized, cost optimized, you know, AI infrastructure optimized, as we've done in the Venice family. you know to do all of this you know our belief is you need a broad portfolio of cpus and that's really what we have been focused on is building you know not just you know one type but really a broader in terms of you know throughput optimized power optimized cost optimized you know ai infrastructure optimized as we've done in the venice family You know, when you put all that together, we're very excited about the larger TAM and, we're also, you know, very happy with the traction that we're getting. you know when you put all that together we're very excited about the larger tam and we're also you know very happy with the traction that we're getting We're clearly feeling like we're seeing significant share gain as, you know, we're going into our Turin portfolio. That has ramped very nicely. Venice is extremely well-positioned, and we're working with customers right now on, you know, beyond Venice and what we're doing in those architectures. We feel really good about the market as well as, you know, our opportunity to grow to a greater than 50% share of that market. We're clearly feeling like we're seeing significant share gain as, you know, we're going into our Turin portfolio. we're clearly feeling like we're seeing significant share gain as you know we're going into our turin portfolio That has ramped very nicely. that has ramped very nicely Venice is extremely well-positioned, and we're working with customers right now on, you know, beyond Venice and what we're doing in those architectures. venice is extremely well-positioned and we're working with customers right now on you know beyond venice and what we're doing in those architectures We feel really good about the market as well as, you know, our opportunity to grow to a greater than 50% share of that market. we feel really good about the market as well as you know our opportunity to grow to a greater than 50% share of that market

Speaker 5: Okay. Thank you for all the color there. I wanted to ask about the Instinct side. In the press release, you mentioned that MI450 and Helios engagements are strengthening with customer forecasts exceeding the expectations and the pipeline growing. You know, you certainly have the big public OpenAI and Meta deals. Was this comment referring to those engagements upsizing versus the announced initial deployments, or was it other customers? Maybe is the increase on the MI450 timeline or is it MI500 and beyond? Thank you. Okay. okay Thank you for all the color there. thank you for all the color there I wanted to ask about the Instinct side. i wanted to ask about the instinct side In the press release, you mentioned that MI450 and Helios engagements are strengthening with customer forecasts exceeding the expectations and the pipeline growing. in the press release you mentioned that mi450 and helios engagements are strengthening with customer forecasts exceeding the expectations and the pipeline growing You know, you certainly have the big public OpenAI and Meta deals. you know you certainly have the big public openai and meta deals Was this comment referring to those engagements upsizing versus the announced initial deployments, or was it other customers? was this comment referring to those engagements upsizing versus the announced initial deployments or was it other customers Maybe is the increase on the MI450 timeline or is it MI500 and beyond? maybe is the increase on the mi450 timeline or is it mi500 and beyond Thank you. thank you

Speaker 6: Sure, Josh. We are very excited about MI450 and Helios. We're seeing significant customer interest in those products as well. You know, we have certainly talked about our large partnerships with OpenAI and Meta, and those are going really well. We appreciate the deep co-engineering that has gone on there. You know, when we look at the totality of, let's call it, you know, based on our current visibility, you know, how those forecasts are coming in with all of our customers, we're actually seeing it above our, you know, initial plans that we had planned for 2027. I think the encouraging thing is we're seeing a breadth of customers who are now very interested in deploying at significant scale, MI450 series. Sure, Josh. sure josh We are very excited about MI450 and Helios. we are very excited about mi450 and helios We're seeing significant customer interest in those products as well. we're seeing significant customer interest in those products as well You know, we have certainly talked about our large partnerships with OpenAI and Meta, and those are going really well. you know we have certainly talked about our large partnerships with openai and meta and those are going really well We appreciate the deep co-engineering that has gone on there. we appreciate the deep co-engineering that has gone on there You know, when we look at the totality of, let's call it, you know, based on our current visibility, you know, how those forecasts are coming in with all of our customers, we're actually seeing it above our, you know, initial plans that we had planned for 2027. you know when we look at the totality of let's call it you know based on our current visibility you know how those forecasts are coming in with all of our customers we're actually seeing it above our you know initial plans that we had planned for 2027 I think the encouraging thing is we're seeing a breadth of customers who are now very interested in deploying at significant scale, MI450 series. i think the encouraging thing is we're seeing a breadth of customers who are now very interested in deploying at significant scale mi450 series And those are for both training and inference workloads, although the largest deployments are for inference. You know, based on all of that, and the scale of new customer interest, we see a path to really get to exceed our original targets of greater than 80% CAGR. These are really 2027 timeframe. Obviously, when we talk to customers, we're talking to them about MI355. And those are for both training and inference workloads, although the largest deployments are for inference. and those are for both training and inference workloads although the largest deployments are for inference You know, based on all of that, and the scale of new customer interest, we see a path to really get to exceed our original targets of greater than 80% CAGR. you know based on all of that and the scale of new customer interest we see a path to really get to exceed our original targets of greater than 80% cagr These are really 2027 timeframe. these are really 2027 timeframe Obviously, when we talk to customers, we're talking to them about MI355. obviously when we talk to customers we're talking to them about mi355 There's a lot of good traction we're seeing there. MI450 and Helios, I think for significant large scale deployments. Then many customers are also very engaged with us on the MI500 series and all of the opportunities there. You know, we feel like, you know, very good progress. You know, the key is that we're, you know, continuing to broaden and widen the scope of both customers as well as workloads. There's a lot of good traction we're seeing there. there's a lot of good traction we're seeing there MI450 and Helios, I think for significant large scale deployments. mi450 and helios i think for significant large scale deployments Then many customers are also very engaged with us on the MI500 series and all of the opportunities there. then many customers are also very engaged with us on the mi500 series and all of the opportunities there You know, we feel like, you know, very good progress. you know we feel like you know very good progress You know, the key is that we're, you know, continuing to broaden and widen the scope of both customers as well as workloads. you know the key is that we're you know continuing to broaden and widen the scope of both customers as well as workloads

Speaker 8: The next question comes from the line of Thomas O'Malley with Barclays. Please proceed with your question. The next question comes from the line of Thomas O'Malley with Barclays. the next question comes from the line of thomas o'malley with barclays Please proceed with your question. please proceed with your question

Speaker 11: Hey, guys. Thanks for taking my question. Lisa, if I, if I get your numbers correct here in the March quarter, it sounds like, you know, the server processor side of the CPU side grew over 50%. If you take it just at the word, it looks like maybe the data center GPU side actually grew in Q1. I was curious around the cadence of this year. Kind of previously, you had talked about really a back half weighted and then kind of more so Q4 weighted year. Could you talk about if that's changed at all? The second part of the question is, as you go into 2027, clearly you're pointing out a lot of upside from the larger customers and then kind of the ecosystem around them with new customers as well. Hey, guys. hey guys Thanks for taking my question. thanks for taking my question Lisa, if I, if I get your numbers correct here in the March quarter, it sounds like, you know, the server processor side of the CPU side grew over 50%. lisa if i if i get your numbers correct here in the march quarter it sounds like you know the server processor side of the cpu side grew over 50% If you take it just at the word, it looks like maybe the data center GPU side actually grew in Q1. if you take it just at the word it looks like maybe the data center gpu side actually grew in q1 I was curious around the cadence of this year. i was curious around the cadence of this year Kind of previously, you had talked about really a back half weighted and then kind of more so Q4 weighted year. kind of previously you had talked about really a back half weighted and then kind of more so q4 weighted year Could you talk about if that's changed at all? could you talk about if that's changed at all The second part of the question is, as you go into 2027, clearly you're pointing out a lot of upside from the larger customers and then kind of the ecosystem around them with new customers as well. the second part of the question is as you go into 2027 clearly you're pointing out a lot of upside from the larger customers and then kind of the ecosystem around them with new customers as well When you look at supply, that's a major issue in the ecosystem today. Could you talk about where you're concerned on supply, if you are, and then any gating factors as you look into next year, whether that be power, data center buildouts, et cetera, or do you feel really good about the ability to grow? Thank you very much. When you look at supply, that's a major issue in the ecosystem today. when you look at supply that's a major issue in the ecosystem today Could you talk about where you're concerned on supply, if you are, and then any gating factors as you look into next year, whether that be power, data center buildouts, et cetera, or do you feel really good about the ability to grow? could you talk about where you're concerned on supply if you are and then any gating factors as you look into next year whether that be power data center buildouts et cetera or do you feel really good about the ability to grow Thank you very much. thank you very much

Speaker 6: Yeah. Okay. A lot of pieces of that question, Tom, so let me try to get through it. First of all, on the Data Center segment in Q1, the server business was, you know, greater than 50% year-over-year, as we said in the prepared remarks. The data center AI was actually down modestly because of the China transition. We had more China revenue sequentially, more China revenue in Q4, and it was less in Q1. As we go forward, I think we see strong growth in both segments. We guided data center Q2 up sequentially double digits, and that's double digits in both server as well as data center AI. Progression as we go forward. Yeah. yeah Okay. okay A lot of pieces of that question, Tom, so let me try to get through it. a lot of pieces of that question tom so let me try to get through it First of all, on the Data Center segment in Q1, the server business was, you know, greater than 50% year-over-year, as we said in the prepared remarks. first of all on the data center segment in q1 the server business was you know greater than 50% year-over-year as we said in the prepared remarks The data center AI was actually down modestly because of the China transition. the data center ai was actually down modestly because of the china transition We had more China revenue sequentially, more China revenue in Q4, and it was less in Q1. we had more china revenue sequentially more china revenue in q4 and it was less in q1 As we go forward, I think we see strong growth in both segments. as we go forward i think we see strong growth in both segments We guided data center Q2 up sequentially double digits, and that's double digits in both server as well as data center AI. we guided data center q2 up sequentially double digits and that's double digits in both server as well as data center ai Progression as we go forward. progression as we go forward First on the server CPU side, we talked about growing to over 70% year-over-year in Q2, and that continuing into the second half of the year. On the data center AI side, we will be ramping Helios in the second half of the year. Let's call it starting with initial volume in Q3, with a significant ramp in Q4 and then continuing to ramp in Q1. That's kind of a little bit of the progression. Then to your questions about customers and supply, I think I answered, you know, Josh, the customer question. I think we have, you know, very, you know, good visibility now into the deployments that are on track for 2027. First on the server CPU side, we talked about growing to over 70% year-over-year in Q2, and that continuing into the second half of the year. first on the server cpu side we talked about growing to over 70% year-over-year in q2 and that continuing into the second half of the year On the data center AI side, we will be ramping Helios in the second half of the year. on the data center ai side we will be ramping helios in the second half of the year Let's call it starting with initial volume in Q3, with a significant ramp in Q4 and then continuing to ramp in Q1. let's call it starting with initial volume in q3 with a significant ramp in q4 and then continuing to ramp in q1 That's kind of a little bit of the progression. that's kind of a little bit of the progression Then to your questions about customers and supply, I think I answered, you know, Josh, the customer question. then to your questions about customers and supply i think i answered you know josh the customer question I think we have, you know, very, you know, good visibility now into the deployments that are on track for 2027. i think we have you know very you know good visibility now into the deployments that are on track for 2027 When I say good visibility, it's visibility down to, you know, which data centers are the GPU is going to be installed in. That's, you know, necessary just given all of the constraints out there. We feel that there is tightness in the supply chain. There is certainly tightness in, you know, sort of data center build-outs, but we are confident in our ability to supply to the levels of growth that we're talking about and to exceed the levels of growth that we're talking about. When I say good visibility, it's visibility down to, you know, which data centers are the GPU is going to be installed in. when i say good visibility it's visibility down to you know which data centers are the gpu is going to be installed in That's, you know, necessary just given all of the constraints out there. that's you know necessary just given all of the constraints out there We feel that there is tightness in the supply chain. we feel that there is tightness in the supply chain There is certainly tightness in, you know, sort of data center build-outs, but we are confident in our ability to supply to the levels of growth that we're talking about and to exceed the levels of growth that we're talking about. there is certainly tightness in you know sort of data center build-outs but we are confident in our ability to supply to the levels of growth that we're talking about and to exceed the levels of growth that we're talking about We're also working very closely with our customers and our partners to ensure that we have good visibility to data center power. There is much more power that's coming online in 2027. With all those things in mind, I think, you know, again, lots of things to manage. It's a complex ramp, but we're very, very pleased with the progress on the ramp. We're also working very closely with our customers and our partners to ensure that we have good visibility to data center power. we're also working very closely with our customers and our partners to ensure that we have good visibility to data center power There is much more power that's coming online in 2027. there is much more power that's coming online in 2027 With all those things in mind, I think, you know, again, lots of things to manage. with all those things in mind i think you know again lots of things to manage It's a complex ramp, but we're very, very pleased with the progress on the ramp. it's a complex ramp but we're very very pleased with the progress on the ramp

Speaker 7: All right. Tom, I think you shotgunned approach the multiple questions there. Operator, maybe we can go on to the next caller, please. Thank you. All right. all right Tom, I think you shotgunned approach the multiple questions there. tom i think you shotgunned approach the multiple questions there Operator, maybe we can go on to the next caller, please. operator maybe we can go on to the next caller please Thank you. thank you

Speaker 8: Thank you. The next question comes from the line of Ross Seymore with Deutsche Bank. Please proceed with your question. Thank you. thank you The next question comes from the line of Ross Seymore with Deutsche Bank. the next question comes from the line of ross seymore with deutsche bank Please proceed with your question. please proceed with your question

Speaker 9: Hi. Thanks for letting me ask a couple of questions. The first one is just on the EPYC competition. Lisa, you went through some of the statistics of you versus x86 and you versus Arm, I wanted to dive a little bit deeper into that. How do you see AMD truly differentiating, especially when you see some of your competition signing up the same customers from the Arm side and the x86 competition having more supply. I just wanted to see if you could dig a little bit deeper into how you think the market share is gonna trend over time. Hi. hi Thanks for letting me ask a couple of questions. thanks for letting me ask a couple of questions The first one is just on the EPYC competition. the first one is just on the epyc competition Lisa, you went through some of the statistics of you versus x86 and you versus Arm, I wanted to dive a little bit deeper into that. lisa you went through some of the statistics of you versus x86 and you versus arm i wanted to dive a little bit deeper into that How do you see AMD truly differentiating, especially when you see some of your competition signing up the same customers from the Arm side and the x86 competition having more supply. how do you see amd truly differentiating especially when you see some of your competition signing up the same customers from the arm side and the x86 competition having more supply I just wanted to see if you could dig a little bit deeper into how you think the market share is gonna trend over time. i just wanted to see if you could dig a little bit deeper into how you think the market share is gonna trend over time

Speaker 6: Sure, Ross. Look, we're very, you know, we're very engaged with, you know, every major hyperscaler and in terms of understanding their needs on the CPU side. I think we have very much wanted to, let's call it, optimize our CPU roadmap for the various workloads. I think we were early to call this, you know, AI component of CPUs. We've been actually optimizing very closely with those customers. Sure, Ross. sure ross Look, we're very, you know, we're very engaged with, you know, every major hyperscaler and in terms of understanding their needs on the CPU side. look we're very you know we're very engaged with you know every major hyperscaler and in terms of understanding their needs on the cpu side I think we have very much wanted to, let's call it, optimize our CPU roadmap for the various workloads. i think we have very much wanted to let's call it optimize our cpu roadmap for the various workloads I think we were early to call this, you know, AI component of CPUs. i think we were early to call this you know ai component of cpus We've been actually optimizing very closely with those customers. we've been actually optimizing very closely with those customers The way to think about this, Ross, is that, you know, you're gonna need a broad portfolio of CPUs. Like, not all CPUs are the same. You know, frankly, you're gonna need different CPUs for whether you're talking about general purpose operations or you're talking about head nodes or you're talking about agentic AI tasks. They're gonna be optimized differently. The way to think about this, Ross, is that, you know, you're gonna need a broad portfolio of CPUs. the way to think about this ross is that you know you're gonna need a broad portfolio of cpus Like, not all CPUs are the same. like not all cpus are the same You know, frankly, you're gonna need different CPUs for whether you're talking about general purpose operations or you're talking about head nodes or you're talking about agentic AI tasks. you know frankly you're gonna need different cpus for whether you're talking about general purpose operations or you're talking about head nodes or you're talking about agentic ai tasks They're gonna be optimized differently. they're gonna be optimized differently We thought through that, and we are, you know, absolutely, optimizing across the various workloads. From a competitive standpoint, we feel very good about where things are, and from a, you know, deep relationship, you know, with the customer set, I think we feel very good about that. From our current, you know, standpoint, I think the depth of our roadmap just expands as we go forward. You shouldn't think about it as, you know, people are going to do one or the other. We thought through that, and we are, you know, absolutely, optimizing across the various workloads. we thought through that and we are you know absolutely optimizing across the various workloads From a competitive standpoint, we feel very good about where things are, and from a, you know, deep relationship, you know, with the customer set, I think we feel very good about that. from a competitive standpoint we feel very good about where things are and from a you know deep relationship you know with the customer set i think we feel very good about that From our current, you know, standpoint, I think the depth of our roadmap just expands as we go forward. from our current you know standpoint i think the depth of our roadmap just expands as we go forward You shouldn't think about it as, you know, people are going to do one or the other. you shouldn't think about it as you know people are going to do one or the other I think you're gonna see people, actually use x86, you know, and Arm, for many of the large hyperscalers, and, you know, even for those who are developing their own, they're still buying lots of CPUs, in the merchant market, for the reason that I just stated, which is you need different CPUs for the different types of workloads. You know, there's very high demand at the moment. I think you're gonna see people, actually use x86, you know, and Arm, for many of the large hyperscalers, and, you know, even for those who are developing their own, they're still buying lots of CPUs, in the merchant market, for the reason that I just stated, which is you need different CPUs for the different types of workloads. i think you're gonna see people actually use x86 you know and arm for many of the large hyperscalers and you know even for those who are developing their own they're still buying lots of cpus in the merchant market for the reason that i just stated which is you need different cpus for the different types of workloads You know, there's very high demand at the moment. you know there's very high demand at the moment

Speaker 9: Thanks for that. I guess for my follow-up, maybe more for Jean on the gross margin side of things. It's nice to see the gross margin popping up in the second quarter guide, but I just wanted to get some trends longer term, maybe not specific numbers. How should we think about when Helios and the Instinct side really ramps in the fourth quarter and more so next year? Thanks for that. thanks for that I guess for my follow-up, maybe more for Jean on the gross margin side of things. i guess for my follow-up maybe more for jean on the gross margin side of things It's nice to see the gross margin popping up in the second quarter guide, but I just wanted to get some trends longer term, maybe not specific numbers. it's nice to see the gross margin popping up in the second quarter guide but i just wanted to get some trends longer term maybe not specific numbers How should we think about when Helios and the Instinct side really ramps in the fourth quarter and more so next year? how should we think about when helios and the instinct side really ramps in the fourth quarter and more so next year I could see some offsets with that carrying a below corporate average gross margin, but then everything that Lisa talked about with the EPYC side of things being significantly stronger might be more of an offset than it was in the past. Just walk us through the puts and takes of that and maybe directionally where you think gross margin goes over the next year or two. I could see some offsets with that carrying a below corporate average gross margin, but then everything that Lisa talked about with the EPYC side of things being significantly stronger might be more of an offset than it was in the past. i could see some offsets with that carrying a below corporate average gross margin but then everything that lisa talked about with the epyc side of things being significantly stronger might be more of an offset than it was in the past Just walk us through the puts and takes of that and maybe directionally where you think gross margin goes over the next year or two. just walk us through the puts and takes of that and maybe directionally where you think gross margin goes over the next year or two

Speaker 4: Yeah, Ross, thanks for the question. We are very pleased with how our gross margin is trending. It came in really strong in Q1. Also, as you mentioned, we guided the Q2 higher at the 56%. I think as we think about the second half quarter-over-quarter, as you know, there are some puts and the takes, right? I would just say from a tailwind perspective, we actually have a multiple tailwinds, really are going to help our gross margin. First, is the server CPU. You know, Lisa talked about the server CPU to expected to grow more than 70% in Q2 and, you know, continue to be really strong in second half. That really helps our gross margin. Yeah, Ross, thanks for the question. yeah ross thanks for the question We are very pleased with how our gross margin is trending. we are very pleased with how our gross margin is trending It came in really strong in Q1. it came in really strong in q1 Also, as you mentioned, we guided the Q2 higher at the 56%. also as you mentioned we guided the q2 higher at the 56% I think as we think about the second half quarter-over-quarter, as you know, there are some puts and the takes, right? i think as we think about the second half quarter-over-quarter as you know there are some puts and the takes right I would just say from a tailwind perspective, we actually have a multiple tailwinds, really are going to help our gross margin. i would just say from a tailwind perspective we actually have a multiple tailwinds really are going to help our gross margin First, is the server CPU. first is the server cpu You know, Lisa talked about the server CPU to expected to grow more than 70% in Q2 and, you know, continue to be really strong in second half. you know lisa talked about the server cpu to expected to grow more than 70% in q2 and you know continue to be really strong in second half That really helps our gross margin. that really helps our gross margin Secondly, in the second half, gaming actually is going to come down, and our client business actually continue to go up the stack. From a Client and Gaming segment, the gross margin actually is going to be also very helpful, embedded. Actually, it's very accretive to our gross margin. Its momentum actually is continuing in the second half. We're really pleased with all the tailwinds we have. On the other side, MI450 will start to ramp in Q3 and then ramp significantly in Q4. That is below corporate average. That will have different puts and it takes in Q4 in the gross margin side. Secondly, in the second half, gaming actually is going to come down, and our client business actually continue to go up the stack. secondly in the second half gaming actually is going to come down and our client business actually continue to go up the stack From a Client and Gaming segment, the gross margin actually is going to be also very helpful, embedded. from a client and gaming segment the gross margin actually is going to be also very helpful embedded Actually, it's very accretive to our gross margin. actually it's very accretive to our gross margin Its momentum actually is continuing in the second half. its momentum actually is continuing in the second half We're really pleased with all the tailwinds we have. we're really pleased with all the tailwinds we have On the other side, MI450 will start to ramp in Q3 and then ramp significantly in Q4. on the other side mi450 will start to ramp in q3 and then ramp significantly in q4 That is below corporate average. that is below corporate average That will have different puts and it takes in Q4 in the gross margin side. that will have different puts and it takes in q4 in the gross margin side When we sit here, when we look at all the positive trends we have to really offset some of the gross margin dilution from MI450 side, we actually feel really good about the setup of the gross margin for 2026. Into next year, I think some of the tailwinds I talk about will actually continue. That's why we feel confident about continue to drive the gross margin. We actually, during our Financial Analyst Day, we outlined a long-term gross margin in the range of 55%-58%. We think for the first year, we're making good progress there. When we sit here, when we look at all the positive trends we have to really offset some of the gross margin dilution from MI450 side, we actually feel really good about the setup of the gross margin for 2026. when we sit here when we look at all the positive trends we have to really offset some of the gross margin dilution from mi450 side we actually feel really good about the setup of the gross margin for 2026 Into next year, I think some of the tailwinds I talk about will actually continue. into next year i think some of the tailwinds i talk about will actually continue That's why we feel confident about continue to drive the gross margin. that's why we feel confident about continue to drive the gross margin We actually, during our Financial Analyst Day, we outlined a long-term gross margin in the range of 55%-58%. we actually during our financial analyst day we outlined a long-term gross margin in the range of 55%-58% We think for the first year, we're making good progress there. we think for the first year we're making good progress there

Speaker 8: The next question comes from the line of Timothy Arcuri with UBS. Please proceed with your question. The next question comes from the line of Timothy Arcuri with UBS. the next question comes from the line of timothy arcuri with ubs Please proceed with your question. please proceed with your question

Speaker 12: Thanks a lot. I wanted to ask about units versus ASP for server CPU. If I look at the June guidance, it sort of implies up 25%-30% for server CPU and, you know, Lisa, you had mentioned second half of the year. It sort of implies that server CPU could grow like 70%, you know, maybe a little more this year. I guess my question is, how much of that growth, either in June or for the year, is like units versus pricing? Are these price increases sort of, you know, mostly captured in June, or is that also helping you in the back half of the year? Thanks a lot. thanks a lot I wanted to ask about units versus ASP for server CPU. i wanted to ask about units versus asp for server cpu If I look at the June guidance, it sort of implies up 25%-30% for server CPU and, you know, Lisa, you had mentioned second half of the year. if i look at the june guidance it sort of implies up 25%-30% for server cpu and you know lisa you had mentioned second half of the year It sort of implies that server CPU could grow like 70%, you know, maybe a little more this year. it sort of implies that server cpu could grow like 70% you know maybe a little more this year I guess my question is, how much of that growth, either in June or for the year, is like units versus pricing? i guess my question is how much of that growth either in june or for the year is like units versus pricing Are these price increases sort of, you know, mostly captured in June, or is that also helping you in the back half of the year? are these price increases sort of you know mostly captured in june or is that also helping you in the back half of the year

Speaker 6: Yeah. Tim, the way I would say it is, maybe let me bring you back to Q1 for a moment. If you look at our significant growth in the server business, it was actually, although we were up on a year-over-year basis, for both ASPs and units, it was actually much more unit driven. We are shipping more CPUs, you know, across not just the high-end, you know, Turin family, but we're actually shipping a lot of Genoas, sort of the Zen core family as well. As we go forward, for Q2 and into the second half, we are, you know, guiding for a significant amount of growth. Yeah. yeah Tim, the way I would say it is, maybe let me bring you back to Q1 for a moment. tim the way i would say it is maybe let me bring you back to q1 for a moment If you look at our significant growth in the server business, it was actually, although we were up on a year-over-year basis, for both ASPs and units, it was actually much more unit driven. if you look at our significant growth in the server business it was actually although we were up on a year-over-year basis for both asps and units it was actually much more unit driven We are shipping more CPUs, you know, across not just the high-end, you know, Turin family, but we're actually shipping a lot of Genoas, sort of the Zen core family as well. we are shipping more cpus you know across not just the high-end you know turin family but we're actually shipping a lot of genoas sort of the zen core family as well As we go forward, for Q2 and into the second half, we are, you know, guiding for a significant amount of growth. as we go forward for q2 and into the second half we are you know guiding for a significant amount of growth I think there's a little bit of ASP in there, but, you know, the way we're thinking about pricing, to be fair is, you know, we are in a range where the supply chain is tight. So there are some inflationary pressures, costs have gone up a bit, and we are, you know, sharing some of that with our customers. I think there's a little bit of ASP in there, but, you know, the way we're thinking about pricing, to be fair is, you know, we are in a range where the supply chain is tight. i think there's a little bit of asp in there but you know the way we're thinking about pricing to be fair is you know we are in a range where the supply chain is tight So there are some inflationary pressures, costs have gone up a bit, and we are, you know, sharing some of that with our customers. so there are some inflationary pressures costs have gone up a bit and we are you know sharing some of that with our customers We are also being very thoughtful in Look, You know, we're playing out for the long term. You know, that means that, Our goal is to ship more units and a lot more units. From that standpoint, you should imagine that the majority of the growth is unit driven and, you know, the ASPs are just really to help cover, you know, some of the inflationary pressures. We are also being very thoughtful in Look, You know, we're playing out for the long term. we are also being very thoughtful in look you know we're playing out for the long term You know, that means that, Our goal is to ship more units and a lot more units. you know that means that our goal is to ship more units and a lot more units From that standpoint, you should imagine that the majority of the growth is unit driven and, you know, the ASPs are just really to help cover, you know, some of the inflationary pressures. from that standpoint you should imagine that the majority of the growth is unit driven and you know the asps are just really to help cover you know some of the inflationary pressures

Speaker 4: Just to add what Lisa said, our ASP is increasing because of the mix, where actually each new generation, the core counts, those are increasing. That actually drives the ASP up. Just to add what Lisa said, our ASP is increasing because of the mix, where actually each new generation, the core counts, those are increasing. just to add what lisa said our asp is increasing because of the mix where actually each new generation the core counts those are increasing That actually drives the ASP up. that actually drives the asp up

Speaker 12: Thanks a lot for that. I guess, Lisa, also, there's a lot of new architectures that are being used from, you know, multi-tenancy all the way to low latency and, you know, your competitor has talked about the low latency part of the market being, you know, 20%+, and they of course added to their portfolio there. Can you talk about how you see that part of the market? I mean, obviously you have enough business right now, you don't need to worry about that probably for now, but can you talk about that? Thanks. Thanks a lot for that. thanks a lot for that I guess, Lisa, also, there's a lot of new architectures that are being used from, you know, multi-tenancy all the way to low latency and, you know, your competitor has talked about the low latency part of the market being, you know, 20% +, and they of course added to their portfolio there. i guess lisa also there's a lot of new architectures that are being used from you know multi-tenancy all the way to low latency and you know your competitor has talked about the low latency part of the market being you know 20% + and they of course added to their portfolio there Can you talk about how you see that part of the market? can you talk about how you see that part of the market I mean, obviously you have enough business right now, you don't need to worry about that probably for now, but can you talk about that? i mean obviously you have enough business right now you don't need to worry about that probably for now but can you talk about that Thanks. thanks

Speaker 6: Yeah, sure. Look, I think what we're seeing is what we expected in the sense that, you know, as you go, you know, as the AI adoption continues, you know, and the volumes, you know, continue to go up and the overall market goes up, you are going to see, let's call it, different compute architectures being used because you want to get more cost optimization from that. We expect that, you know, even in that situation, you know, obviously the vast majority of the TAM is still going to be, you know, let's call it data center GPUs as the primary accelerator. You may choose to do optimization around inference, around, you know, low latency, around, you know, certain parts of the stack, whether it's decode versus prefill. Yeah, sure. yeah sure Look, I think what we're seeing is what we expected in the sense that, you know, as you go, you know, as the AI adoption continues, you know, and the volumes, you know, continue to go up and the overall market goes up, you are going to see, let's call it, different compute architectures being used because you want to get more cost optimization from that. look i think what we're seeing is what we expected in the sense that you know as you go you know as the ai adoption continues you know and the volumes you know continue to go up and the overall market goes up you are going to see let's call it different compute architectures being used because you want to get more cost optimization from that We expect that, you know, even in that situation, you know, obviously the vast majority of the TAM is still going to be, you know, let's call it data center GPUs as the primary accelerator. we expect that you know even in that situation you know obviously the vast majority of the tam is still going to be you know let's call it data center gpus as the primary accelerator You may choose to do optimization around inference, around, you know, low latency, around, you know, certain parts of the stack, whether it's decode versus prefill. you may choose to do optimization around inference around you know low latency around you know certain parts of the stack whether it's decode versus prefill I think that's very natural. The way we look at it is, you know, we're developing a full compute portfolio. That's CPUs, that's GPUs, that's the ability to connect to all accelerators, as well as the ability to do customization for certain customers and we've also talked about, you know, our semi-custom capabilities. I think that's very natural. i think that's very natural The way we look at it is, you know, we're developing a full compute portfolio. the way we look at it is you know we're developing a full compute portfolio That's CPUs, that's GPUs, that's the ability to connect to all accelerators, as well as the ability to do customization for certain customers and we've also talked about, you know, our semi-custom capabilities. that's cpus that's gpus that's the ability to connect to all accelerators as well as the ability to do customization for certain customers and we've also talked about you know our semi-custom capabilities With all of those, you know, sort of compute capabilities in our tool chest, I think we will be able to address very effectively a large portion of this market, including, you know, the low latency portion of the market. From our standpoint, this is kind of a natural evolution. How fast it goes depends, you know, a bit on the technology, in terms of, you know, what share of the TAM these things become. We should expect that there will be different variants, and we're well prepared to address those different variants. With all of those, you know, sort of compute capabilities in our tool chest, I think we will be able to address very effectively a large portion of this market, including, you know, the low latency portion of the market. with all of those you know sort of compute capabilities in our tool chest i think we will be able to address very effectively a large portion of this market including you know the low latency portion of the market From our standpoint, this is kind of a natural evolution. from our standpoint this is kind of a natural evolution How fast it goes depends, you know, a bit on the technology, in terms of, you know, what share of the TAM these things become. how fast it goes depends you know a bit on the technology in terms of you know what share of the tam these things become We should expect that there will be different variants, and we're well prepared to address those different variants. we should expect that there will be different variants and we're well prepared to address those different variants

Speaker 8: Thank you. The next question comes from the line of Vivek Arya with Bank of America. Please proceed with your question. Thank you. thank you The next question comes from the line of Vivek Arya with Bank of America. the next question comes from the line of vivek arya with bank of america Please proceed with your question. please proceed with your question

Speaker 13: Thanks for taking my question. Lisa, do you think agentic CPU growth is incremental, or is it coming at the expense of GPUs conceptually? If you're raising server CPU TAM, are you also implicitly kind of raising AI TAM? Just I'm, you know, interested in your perspective on what did you think a server CPU was as a percentage of AI TAM before and what is it now with this $120 billion number? Thanks for taking my question. thanks for taking my question Lisa, do you think agentic CPU growth is incremental, or is it coming at the expense of GPUs conceptually? lisa do you think agentic cpu growth is incremental or is it coming at the expense of gpus conceptually If you're raising server CPU TAM, are you also implicitly kind of raising AI TAM? if you're raising server cpu tam are you also implicitly kind of raising ai tam Just I'm, you know, interested in your perspective on what did you think a server CPU was as a percentage of AI TAM before and what is it now with this $120 billion number? just i'm you know interested in your perspective on what did you think a server cpu was as a percentage of ai tam before and what is it now with this $120 billion number

Speaker 6: Sure, Vivek. The way we're thinking about it is it's largely additive to the TAM. You should think about, you know, we need all of the accelerators, you know, to run these, you know, foundational models. As these agents do work, they spawn, you know, more CPU tasks. I would say largely incremental. The key is to make sure, what, you know, we're seeing is in these deployments, the key is to make sure the ratio of CPUs to GPUs are the right ratio. If you're installing a gigawatt of compute, you know, the ratio, the percentage of CPU as part of that gigawatt will increase. You know, some of the conversation in the industry has been about, you know, CPU to GPU ratios. Sure, Vivek. sure vivek The way we're thinking about it is it's largely additive to the TAM. the way we're thinking about it is it's largely additive to the tam You should think about, you know, we need all of the accelerators, you know, to run these, you know, foundational models. you should think about you know we need all of the accelerators you know to run these you know foundational models As these agents do work, they spawn, you know, more CPU tasks. as these agents do work they spawn you know more cpu tasks I would say largely incremental. i would say largely incremental The key is to make sure, what, you know, we're seeing is in these deployments, the key is to make sure the ratio of CPUs to GPUs are the right ratio. the key is to make sure what you know we're seeing is in these deployments the key is to make sure the ratio of cpus to gpus are the right ratio If you're installing a gigawatt of compute, you know, the ratio, the percentage of CPU as part of that gigawatt will increase. if you're installing a gigawatt of compute you know the ratio the percentage of cpu as part of that gigawatt will increase You know, some of the conversation in the industry has been about, you know, CPU to GPU ratios. you know some of the conversation in the industry has been about you know cpu to gpu ratios You know, it's very hard to call exactly, but, you know, we certainly see the movement towards, you know, where in the past the CPU to GPU ratio was primarily, you know, just as a host node, you know, in like a 1-to-4 or 1-to-8 configuration. You know, now changing and getting closer to a 1-to-1 configuration or, you know, even, you know, you can even imagine if you get lots and lots of agents that you could have more CPUs than GPUs. You know, all in all, to answer your question, I think it's largely additive to the TAM. You know, it's very hard to call exactly, but, you know, we certainly see the movement towards, you know, where in the past the CPU to GPU ratio was primarily, you know, just as a host node, you know, in like a 1- to- 4 or 1- to- 8 configuration. you know it's very hard to call exactly but you know we certainly see the movement towards you know where in the past the cpu to gpu ratio was primarily you know just as a host node you know in like a 1- to- 4 or 1- to- 8 configuration You know, now changing and getting closer to a 1-to-1 configuration or, you know, even, you know, you can even imagine if you get lots and lots of agents that you could have more CPUs than GPUs. you know now changing and getting closer to a 1-to-1 configuration or you know even you know you can even imagine if you get lots and lots of agents that you could have more cpus than gpus You know, all in all, to answer your question, I think it's largely additive to the TAM. you know all in all to answer your question i think it's largely additive to the tam You know, the key is that everyone is now planning and thinking about CPUs at the same time that they're thinking about, you know, their accelerator deployments, which is a good thing. You know, the key is that everyone is now planning and thinking about CPUs at the same time that they're thinking about, you know, their accelerator deployments, which is a good thing. you know the key is that everyone is now planning and thinking about cpus at the same time that they're thinking about you know their accelerator deployments which is a good thing

Speaker 13: Got it. For my follow-up, Lisa, you know, we continue to see memory prices go up. I imagine that is both kind of a cost inflation for you, but perhaps an opportunity to take price as well. I'm curious, how is that dynamic playing out for AMD and especially for your customers? Because, you know, a greater part of their CapEx increase is really kind of this memory inflation tax, right? Got it. got it For my follow-up, Lisa, you know, we continue to see memory prices go up. for my follow-up lisa you know we continue to see memory prices go up I imagine that is both kind of a cost inflation for you, but perhaps an opportunity to take price as well. i imagine that is both kind of a cost inflation for you but perhaps an opportunity to take price as well I'm curious, how is that dynamic playing out for AMD and especially for your customers? i'm curious how is that dynamic playing out for amd and especially for your customers Because, you know, a greater part of their CapEx increase is really kind of this memory inflation tax, right? because you know a greater part of their capex increase is really kind of this memory inflation tax right That they have to pay. How is this dynamic playing out for you and for your customers? The part that I'm really interested in is that have you secured enough supply, you know, versus your other larger competitor who has disclosed a lot of prepayments and other things? Just how is this memory inflation dynamic playing out? You know, are you kind of adequately supplied from that perspective? That they have to pay. that they have to pay How is this dynamic playing out for you and for your customers? how is this dynamic playing out for you and for your customers The part that I'm really interested in is that have you secured enough supply, you know, versus your other larger competitor who has disclosed a lot of prepayments and other things? the part that i'm really interested in is that have you secured enough supply you know versus your other larger competitor who has disclosed a lot of prepayments and other things Just how is this memory inflation dynamic playing out? just how is this memory inflation dynamic playing out You know, are you kind of adequately supplied from that perspective? you know are you kind of adequately supplied from that perspective

Speaker 6: Sure. Vivek, let me answer the second one first. I think from a supply standpoint, we are very happy with our partnerships with the memory vendors. We have secured enough supply to, you know, certainly meet and exceed our targets. It is a tight memory environment, let me be clear. But I think we are very deep partnerships with the memory providers. Back to your comments on the inflationary pressures. I mean, look, this is something that everyone in the industry is working with. In the time of tight supply, you know, we are seeing some cost increases on the memory side. I think we are all working through that. Sure. sure Vivek, let me answer the second one first. vivek let me answer the second one first I think from a supply standpoint, we are very happy with our partnerships with the memory vendors. i think from a supply standpoint we are very happy with our partnerships with the memory vendors We have secured enough supply to, you know, certainly meet and exceed our targets. we have secured enough supply to you know certainly meet and exceed our targets It is a tight memory environment, let me be clear. it is a tight memory environment let me be clear But I think we are very deep partnerships with the memory providers. but i think we are very deep partnerships with the memory providers Back to your comments on the inflationary pressures. back to your comments on the inflationary pressures I mean, look, this is something that everyone in the industry is working with. i mean look this is something that everyone in the industry is working with In the time of tight supply, you know, we are seeing some cost increases on the memory side. in the time of tight supply you know we are seeing some cost increases on the memory side I think we are all working through that. i think we are all working through that The way we're seeing it unfold in the market is actually on the data center side. You know, because of the, let's call it, the demand for AI compute, I mean, people are largely, you know, focused on supply and ensuring that the supply assurance is there. The corollary of that, you know, the larger impact that we're watching is, you know, the impact on the consumer markets. You know, as we said in the prepared remarks, you know, we are expecting that there could be, you know, sort of the demand impact as a result of the memory price increases on, you know, things like the PC business in the second half of the year, as well as the gaming business. The way we're seeing it unfold in the market is actually on the data center side. the way we're seeing it unfold in the market is actually on the data center side You know, because of the, let's call it, the demand for AI compute, I mean, people are largely, you know, focused on supply and ensuring that the supply assurance is there. you know because of the let's call it the demand for ai compute i mean people are largely you know focused on supply and ensuring that the supply assurance is there The corollary of that, you know, the larger impact that we're watching is, you know, the impact on the consumer markets. the corollary of that you know the larger impact that we're watching is you know the impact on the consumer markets You know, as we said in the prepared remarks, you know, we are expecting that there could be, you know, sort of the demand impact as a result of the memory price increases on, you know, things like the PC business in the second half of the year, as well as the gaming business. you know as we said in the prepared remarks you know we are expecting that there could be you know sort of the demand impact as a result of the memory price increases on you know things like the pc business in the second half of the year as well as the gaming business We're taking that into account in our overall model. You know, we continue to work closely with the memory providers as well as our customers to ensure that, you know, every time we ship a CPU or GPU, that it's paired with the memory on the other side so that we don't have, you know, compute that is not being deployed. We're taking that into account in our overall model. we're taking that into account in our overall model You know, we continue to work closely with the memory providers as well as our customers to ensure that, you know, every time we ship a CPU or GPU, that it's paired with the memory on the other side so that we don't have, you know, compute that is not being deployed. you know we continue to work closely with the memory providers as well as our customers to ensure that you know every time we ship a cpu or gpu that it's paired with the memory on the other side so that we don't have you know compute that is not being deployed

Speaker 8: The next question comes from the line of Aaron Rakers with Wells Fargo. Please proceed with your question. The next question comes from the line of Aaron Rakers with Wells Fargo. the next question comes from the line of aaron rakers with wells fargo Please proceed with your question. please proceed with your question

Speaker 1: Yeah, thanks for taking the question, congrats on the results. I wanna stick on the topic of CPU to GPU. As we think about the chart that you had outlined at the Analyst Day, there was obviously broken out between traditional CPUs and then the AI bucket on top of that. Obviously, I think the new forecast has a lot to do with the AI, you know, CPU expansion. I'm just curious, when you're doing a CPU in an AI workload, is there structurally a different level of ASP tied to that kind of CPU optimized for AI relative to a general purpose server CPU? Any kind of color or help on that would be useful. Yeah, thanks for taking the question, congrats on the results. yeah thanks for taking the question congrats on the results I wanna stick on the topic of CPU to GPU. i wanna stick on the topic of cpu to gpu As we think about the chart that you had outlined at the Analyst Day, there was obviously broken out between traditional CPUs and then the AI bucket on top of that. as we think about the chart that you had outlined at the analyst day there was obviously broken out between traditional cpus and then the ai bucket on top of that Obviously, I think the new forecast has a lot to do with the AI, you know, CPU expansion. obviously i think the new forecast has a lot to do with the ai you know cpu expansion I'm just curious, when you're doing a CPU in an AI workload, is there structurally a different level of ASP tied to that kind of CPU optimized for AI relative to a general purpose server CPU? i'm just curious when you're doing a cpu in an ai workload is there structurally a different level of asp tied to that kind of cpu optimized for ai relative to a general purpose server cpu Any kind of color or help on that would be useful. any kind of color or help on that would be useful

Speaker 6: Sure, Aaron. Let me start with the broader question. The broader question, you know, the way we think about the CPU TAM is, think about it as three categories. There is a, you know, traditional, you know, CPUs, let's call it general purpose, CPU, TAM, that, you know, is increasing, but let's call it increasing at, you know, a low rate, maybe, let's call it low double digits. You have your AI head node, which is connecting to accelerators, which is, you know, also growing, but it's smaller. The largest piece of the growth is this agentic AI, you know, piece, which, you know, we think is really stemming from all of the agentic processes. Sure, Aaron. sure aaron Let me start with the broader question. let me start with the broader question The broader question, you know, the way we think about the CPU TAM is, think about it as three categories. the broader question you know the way we think about the cpu tam is think about it as three categories There is a, you know, traditional, you know, CPUs, let's call it general purpose, CPU, TAM, that, you know, is increasing, but let's call it increasing at, you know, a low rate, maybe, let's call it low double digits. there is a you know traditional you know cpus let's call it general purpose cpu tam that you know is increasing but let's call it increasing at you know a low rate maybe let's call it low double digits You have your AI head node, which is connecting to accelerators, which is, you know, also growing, but it's smaller. you have your ai head node which is connecting to accelerators which is you know also growing but it's smaller The largest piece of the growth is this agentic AI, you know, piece, which, you know, we think is really stemming from all of the agentic processes. the largest piece of the growth is this agentic ai you know piece which you know we think is really stemming from all of the agentic processes I don't have a number that I can tell you in terms of relative ASPs because it really depends on the workload that is being run. What we see going forward is as core counts increase, we will see ASP increase. That's the direction that we're going in as we go forward. The main point is the largest portion of this is the agentic AI, the CPUs that are serving these agentic AI workloads in terms of the TAM increase. I don't have a number that I can tell you in terms of relative ASPs because it really depends on the workload that is being run. i don't have a number that i can tell you in terms of relative asps because it really depends on the workload that is being run What we see going forward is as core counts increase, we will see ASP increase. what we see going forward is as core counts increase we will see asp increase That's the direction that we're going in as we go forward. that's the direction that we're going in as we go forward The main point is the largest portion of this is the agentic AI, the CPUs that are serving these agentic AI workloads in terms of the TAM increase. the main point is the largest portion of this is the agentic ai the cpus that are serving these agentic ai workloads in terms of the tam increase

Speaker 1: As a quick follow-up, I'm curious, you know, how do you characterize the competitive landscape as we see, you know, some of the Arm introductions in the market? Just curious of your views on the competitive landscape in server CPUs. Thank you. As a quick follow-up, I'm curious, you know, how do you characterize the competitive landscape as we see, you know, some of the Arm introductions in the market? as a quick follow-up i'm curious you know how do you characterize the competitive landscape as we see you know some of the arm introductions in the market Just curious of your views on the competitive landscape in server CPUs. just curious of your views on the competitive landscape in server cpus Thank you. thank you

Speaker 6: Yeah. Aaron, the best way to think about the server CPU landscape is, you know, again, number one, everyone is talking about CPUs, that tells you how, you know, critical they are for the AI infrastructure. I think that's a good thing. We feel like we're very well positioned. No question, you know, Arm is good architecture. It has a place in the data center market. You know, we view it as more, you know, point products relative to a portfolio where, you know, from an AMD standpoint, we built this, you know, broad portfolio of CPUs going forward, which you're gonna need for all of these different workloads. Yeah. yeah Aaron, the best way to think about the server CPU landscape is, you know, again, number one, everyone is talking about CPUs, that tells you how, you know, critical they are for the AI infrastructure. aaron the best way to think about the server cpu landscape is you know again number one everyone is talking about cpus that tells you how you know critical they are for the ai infrastructure I think that's a good thing. i think that's a good thing We feel like we're very well positioned. we feel like we're very well positioned No question, you know, Arm is good architecture. no question you know arm is good architecture It has a place in the data center market. it has a place in the data center market You know, we view it as more, you know, point products relative to a portfolio where, you know, from an AMD standpoint, we built this, you know, broad portfolio of CPUs going forward, which you're gonna need for all of these different workloads. you know we view it as more you know point products relative to a portfolio where you know from an amd standpoint we built this you know broad portfolio of cpus going forward which you're gonna need for all of these different workloads You know, we have in the Venice timeframe, added an AI optimized, you know, CPU, with Verano in addition to our throughput optimized and, you know, sort of cost optimized points. From that standpoint, I think we're very competitive. We're continuing to innovate on, you know, architecture. We're continuing to innovate on, you know, both advanced packaging as well as, you know, all of the architectural pieces. We feel very well positioned going forward. The key is the TAM is much, much larger than anybody thought, and so there's a lot of opportunity for, you know, for different products to be successful in this area. You know, we have in the Venice timeframe, added an AI optimized, you know, CPU, with Verano in addition to our throughput optimized and, you know, sort of cost optimized points. you know we have in the venice timeframe added an ai optimized you know cpu with verano in addition to our throughput optimized and you know sort of cost optimized points From that standpoint, I think we're very competitive. from that standpoint i think we're very competitive We're continuing to innovate on, you know, architecture. we're continuing to innovate on you know architecture We're continuing to innovate on, you know, both advanced packaging as well as, you know, all of the architectural pieces. we're continuing to innovate on you know both advanced packaging as well as you know all of the architectural pieces We feel very well positioned going forward. we feel very well positioned going forward The key is the TAM is much, much larger than anybody thought, and so there's a lot of opportunity for, you know, for different products to be successful in this area. the key is the tam is much much larger than anybody thought and so there's a lot of opportunity for you know for different products to be successful in this area

Speaker 8: The next question comes from the line of CJ Muse with Cantor Fitzgerald. Please proceed with your question. The next question comes from the line of CJ Muse with Cantor Fitzgerald. the next question comes from the line of cj muse with cantor fitzgerald Please proceed with your question. please proceed with your question

Speaker 3: Yeah, good afternoon. Thank you for taking the question. I guess first question was hoping to speak a bit more about client for all of calendar 2026. You talked about growth, expected growth, but would love to hear, you know, your thoughts around seasonality in the second half. I'm assuming that you are repurposing certain logic tiles from client over to the data center and would love to kind of better understand what the implications are for ASPs on the client side looking into the second half. Yeah, good afternoon. yeah good afternoon Thank you for taking the question. thank you for taking the question I guess first question was hoping to speak a bit more about client for all of calendar 2026. i guess first question was hoping to speak a bit more about client for all of calendar 2026 You talked about growth, expected growth, but would love to hear, you know, your thoughts around seasonality in the second half. you talked about growth expected growth but would love to hear you know your thoughts around seasonality in the second half I'm assuming that you are repurposing certain logic tiles from client over to the data center and would love to kind of better understand what the implications are for ASPs on the client side looking into the second half. i'm assuming that you are repurposing certain logic tiles from client over to the data center and would love to kind of better understand what the implications are for asps on the client side looking into the second half

Speaker 6: Sure. CJ, I think the client business has performed really well for us. I think if we look at, you know, Q1, it actually was a little bit stronger than what we expected. We are seeing some mix shift in the client business. The mix that we're seeing is the, you know, the M&C or the notebook business is actually growing, especially the premium portion. We're making very good progress in the commercial PC arena with our AI PCs. We did see desktops a little bit, you know, softer, just given desktop is a more consumer-focused market. In that market, it's more impacted by, you know, some of the memory pricing and the component price increases. Sure. sure CJ, I think the client business has performed really well for us. cj i think the client business has performed really well for us I think if we look at, you know, Q1, it actually was a little bit stronger than what we expected. i think if we look at you know q1 it actually was a little bit stronger than what we expected We are seeing some mix shift in the client business. we are seeing some mix shift in the client business The mix that we're seeing is the, you know, the M&C or the notebook business is actually growing, especially the premium portion. the mix that we're seeing is the you know the m&c or the notebook business is actually growing especially the premium portion We're making very good progress in the commercial PC arena with our AI PCs. we're making very good progress in the commercial pc arena with our ai pcs We did see desktops a little bit, you know, softer, just given desktop is a more consumer-focused market. we did see desktops a little bit you know softer just given desktop is a more consumer-focused market In that market, it's more impacted by, you know, some of the memory pricing and the component price increases. in that market it's more impacted by you know some of the memory pricing and the component price increases You know, when we look at the full year, our, you know, commentary is, we are planning for, you know, some demand impact in the second half due to the memory pricing. But even in that environment, you know, what we're focused on is ensuring that we continue to make good progress on the commercial business and continuing to focus on the premium segments of the market. You know, when we look at the full year, our, you know, commentary is, we are planning for, you know, some demand impact in the second half due to the memory pricing. you know when we look at the full year our you know commentary is we are planning for you know some demand impact in the second half due to the memory pricing But even in that environment, you know, what we're focused on is ensuring that we continue to make good progress on the commercial business and continuing to focus on the premium segments of the market. but even in that environment you know what we're focused on is ensuring that we continue to make good progress on the commercial business and continuing to focus on the premium segments of the market So we believe that we will, you know, continue to grow on a year-over-year basis for the client business compared to last year. And as it relates to, you know, ASPs, again, it's a little bit of puts and takes between notebook and desktop. You know, overall, I think we're feeling good about our opportunity to outperform the market in client going forward. So we believe that we will, you know, continue to grow on a year-over-year basis for the client business compared to last year. so we believe that we will you know continue to grow on a year-over-year basis for the client business compared to last year And as it relates to, you know, ASPs, again, it's a little bit of puts and takes between notebook and desktop. and as it relates to you know asps again it's a little bit of puts and takes between notebook and desktop You know, overall, I think we're feeling good about our opportunity to outperform the market in client going forward. you know overall i think we're feeling good about our opportunity to outperform the market in client going forward

Speaker 3: Very helpful. That was perfect. Thank you. Very helpful. very helpful That was perfect. that was perfect Thank you. thank you

Speaker 6: Okay Okay okay

Speaker 3: A question on Instinct gross margins. You know, with compute essentially sold out, and obviously you're building a business, so, you know, one has to be, I guess, conservative on that front. I would think outside of kind of passing through HBM, that, you know, given the very tight wafer environment, that this would be a place where, you know, you could look to drive your Instinct margins closer to your corporate average. How are you thinking about that, you know, either today or, you know, in the coming one, two, three years? A question on Instinct gross margins. a question on instinct gross margins You know, with compute essentially sold out, and obviously you're building a business, so, you know, one has to be, I guess, conservative on that front. you know with compute essentially sold out and obviously you're building a business so you know one has to be i guess conservative on that front I would think outside of kind of passing through HBM, that, you know, given the very tight wafer environment, that this would be a place where, you know, you could look to drive your Instinct margins closer to your corporate average. i would think outside of kind of passing through hbm that you know given the very tight wafer environment that this would be a place where you know you could look to drive your instinct margins closer to your corporate average How are you thinking about that, you know, either today or, you know, in the coming one, two, three years? how are you thinking about that you know either today or you know in the coming one two three years

Speaker 4: Hi. CJ, you know, at this stage, we really focus on drive the top line revenue growth on our Instinct family of products. I think on the gross margin side, you're absolutely right. It's, you know, it's really tied to the demand for compute is tremendous. We actually are very strategic how we think about the how we work with the customers. Of course, different customer also have different gross margin. I think over time, once we start to ramp our revenue, we'll have a lot of opportunities to improve gross margin, both, you know, on the ASP side, but also more importantly, on the cost side when we scale our business. Hi. hi CJ, you know, at this stage, we really focus on drive the top line revenue growth on our Instinct family of products. cj you know at this stage we really focus on drive the top line revenue growth on our instinct family of products I think on the gross margin side, you're absolutely right. i think on the gross margin side you're absolutely right It's, you know, it's really tied to the demand for compute is tremendous. it's you know it's really tied to the demand for compute is tremendous We actually are very strategic how we think about the how we work with the customers. we actually are very strategic how we think about the how we work with the customers Of course, different customer also have different gross margin. of course different customer also have different gross margin I think over time, once we start to ramp our revenue, we'll have a lot of opportunities to improve gross margin, both, you know, on the ASP side, but also more importantly, on the cost side when we scale our business. i think over time once we start to ramp our revenue we'll have a lot of opportunities to improve gross margin both you know on the asp side but also more importantly on the cost side when we scale our business

Speaker 8: Thank you. The next question comes from the line of Stacy Rasgon with Bernstein Research. Please proceed with your question. Thank you. thank you The next question comes from the line of Stacy Rasgon with Bernstein Research. the next question comes from the line of stacy rasgon with bernstein research Please proceed with your question. please proceed with your question

Speaker 10: Hi, guys. Thanks for taking my questions. For the first one, I just wanted to make sure I have the near term AI GPU trajectory correct. I know you said it was down sequentially in Q1 because of China. You had like $390 million of China revenue in there in Q4. Did the AI business in Q1 actually grow sequentially ex China? It doesn't feel like it, given the server outlook. I look at what's maybe suggested for Q2. I mean, are you thinking GPUs and servers kind of grow similar rate sequentially? It would probably put GPUs in Q2 below the overall level that you were at in Q4, which seems low to me. I'm just trying to tie all that out. Could you help me with that, please? Hi, guys. hi guys Thanks for taking my questions. thanks for taking my questions For the first one, I just wanted to make sure I have the near term AI GPU trajectory correct. for the first one i just wanted to make sure i have the near term ai gpu trajectory correct I know you said it was down sequentially in Q1 because of China. i know you said it was down sequentially in q1 because of china You had like $390 million of China revenue in there in Q4. you had like $390 million of china revenue in there in q4 Did the AI business in Q1 actually grow sequentially ex China? did the ai business in q1 actually grow sequentially ex china It doesn't feel like it, given the server outlook. it doesn't feel like it given the server outlook I look at what's maybe suggested for Q2. i look at what's maybe suggested for q2 I mean, are you thinking GPUs and servers kind of grow similar rate sequentially? i mean are you thinking gpus and servers kind of grow similar rate sequentially It would probably put GPUs in Q2 below the overall level that you were at in Q4, which seems low to me. it would probably put gpus in q2 below the overall level that you were at in q4 which seems low to me I'm just trying to tie all that out. i'm just trying to tie all that out Could you help me with that, please? could you help me with that please

Speaker 4: I think, Stacy, appreciate the question. I think if you look at the Q1, we did mention data center AI was down modest base up sequentially, primarily due to lower China revenue in the quarter. I think on your second question regarding Q2, you're right. Both data center AI and the server will grow double digit in Q2. I think, Stacy, appreciate the question. i think stacy appreciate the question I think if you look at the Q1, we did mention data center AI was down modest base up sequentially, primarily due to lower China revenue in the quarter. i think if you look at the q1 we did mention data center ai was down modest base up sequentially primarily due to lower china revenue in the quarter I think on your second question regarding Q2, you're right. i think on your second question regarding q2 you're right Both data center AI and the server will grow double digit in Q2. both data center ai and the server will grow double digit in q2

Speaker 10: You didn't answer my question. In Q1, did it grow sequentially ex the China step down, I guess, is what I'm asking? You didn't answer my question. you didn't answer my question In Q1, did it grow sequentially ex the China step down, I guess, is what I'm asking? in q1 did it grow sequentially ex the china step down i guess is what i'm asking

Speaker 4: The China for our business- The China for our business- the china for our business-

Speaker 10: In Q1. In Q1. in q1

Speaker 4: In Q1, it's not material. I think, I'll repeat what I just said, is that, yeah, the revenue, China revenue in Q1 is not material. In Q1, it's not material. in q1 it's not material I think, I'll repeat what I just said, is that, yeah, the revenue, China revenue in Q1 is not material. i think i'll repeat what i just said is that yeah the revenue china revenue in q1 is not material

Speaker 10: Okay, you don't wanna Okay. Second question, OpEx. For spending, but it sort of continues to blow past the targets. You kind of give an OpEx guide and then it blows through it, and then you guide higher. Again, I'm not bothered by the spending. I'm just wondering why is the OpEx been so hard to forecast, and how should we think about OpEx- Okay, you don't wanna Okay. okay you don't wanna okay Second question, OpEx. second question opex For spending, but it sort of continues to blow past the targets. for spending but it sort of continues to blow past the targets You kind of give an OpEx guide and then it blows through it, and then you guide higher. you kind of give an opex guide and then it blows through it and then you guide higher Again, I'm not bothered by the spending. again i'm not bothered by the spending I'm just wondering why is the OpEx been so hard to forecast, and how should we think about OpEx- i'm just wondering why is the opex been so hard to forecast and how should we think about opex-

Speaker 4: Yeah. Yeah. yeah

Speaker 10: Through the rest of the year Through the rest of the year through the rest of the year

Speaker 4: Yeah Yeah yeah

Speaker 10: Given the revenue growth? Given the revenue growth? given the revenue growth

Speaker 4: Thanks, Stacy, for that question. I think the most important thing is, given the tremendous market opportunities we have, we actually are investing aggressively. If you look at the past several quarters, we're really leaning in investing. All the AI investments are driving the revenue momentum. If you look at the Q1, revenue was 38% up, Q2 it was, what? Thanks, Stacy, for that question. thanks stacy for that question I think the most important thing is, given the tremendous market opportunities we have, we actually are investing aggressively. i think the most important thing is given the tremendous market opportunities we have we actually are investing aggressively If you look at the past several quarters, we're really leaning in investing. if you look at the past several quarters we're really leaning in investing All the AI investments are driving the revenue momentum. all the ai investments are driving the revenue momentum If you look at the Q1, revenue was 38% up, Q2 it was, what? if you look at the q1 revenue was 38% up q2 it was what We guided 46% up. The investment are driving the revenue momentum. Some of the OpEx increase, of course, is tied to the revenue. When you look at our beat on the revenue side versus our guidance, we did beat on the revenue side, right? That impacted a little bit, but also at the same time, you know, we have a lot of customer engagement with our data center AI business. We do continue to make sure we have the resources to support our different customers. We guided 46% up. we guided 46% up The investment are driving the revenue momentum. the investment are driving the revenue momentum Some of the OpEx increase, of course, is tied to the revenue. some of the opex increase of course is tied to the revenue When you look at our beat on the revenue side versus our guidance, we did beat on the revenue side, right? when you look at our beat on the revenue side versus our guidance we did beat on the revenue side right That impacted a little bit, but also at the same time, you know, we have a lot of customer engagement with our data center AI business. that impacted a little bit but also at the same time you know we have a lot of customer engagement with our data center ai business We do continue to make sure we have the resources to support our different customers. we do continue to make sure we have the resources to support our different customers

Speaker 7: Thank you very much. Operator, I think we have time for one more caller on the call. Thank you. Thank you very much. thank you very much Operator, I think we have time for one more caller on the call. operator i think we have time for one more caller on the call Thank you. thank you

Speaker 8: Thank you. Our final question comes from the line of Blaine Curtis with Jefferies. Please proceed with your question. Thank you. thank you Our final question comes from the line of Blaine Curtis with Jefferies. our final question comes from the line of blaine curtis with jefferies Please proceed with your question. please proceed with your question

Speaker 2: Hey, well, thanks for squeezing me in. Lisa, I just want to go back to the supply side. There was a lot of story about your competitor restarting 7nm. I'm just kind of curious, as you look at that landscape, which is quite robust through the end of the decade, do you think that the older products will stay around longer? Is there a way to think about the implications for gross margin in such a strong market? Is that actually a negative? Hey, well, thanks for squeezing me in. hey well thanks for squeezing me in Lisa, I just want to go back to the supply side. lisa i just want to go back to the supply side There was a lot of story about your competitor restarting 7 nm. there was a lot of story about your competitor restarting 7 nm I'm just kind of curious, as you look at that landscape, which is quite robust through the end of the decade, do you think that the older products will stay around longer? i'm just kind of curious as you look at that landscape which is quite robust through the end of the decade do you think that the older products will stay around longer Is there a way to think about the implications for gross margin in such a strong market? is there a way to think about the implications for gross margin in such a strong market Is that actually a negative? is that actually a negative

Speaker 6: Actually, Blaine, I don't think we see the older products hanging around longer in our case. I think, you know, it might be company specific stuff. In our case, we actually see, first of all, you know, Turin is very strong. We actually crossed over, you know, 50% of our revenue being Turin this quarter. Genoa is very strong. You know, we're still shipping some Milan, but I would say that's come down over time. In general, people want to use the more the newer products because they're just more, you know, efficient in every aspect, from performance, from cost structure, from, you know, power standpoint. That's what we're seeing. Actually, Blaine, I don't think we see the older products hanging around longer in our case. actually blaine i don't think we see the older products hanging around longer in our case I think, you know, it might be company specific stuff. i think you know it might be company specific stuff In our case, we actually see, first of all, you know, Turin is very strong. in our case we actually see first of all you know turin is very strong We actually crossed over, you know, 50% of our revenue being Turin this quarter. we actually crossed over you know 50% of our revenue being turin this quarter Genoa is very strong. genoa is very strong You know, we're still shipping some Milan, but I would say that's come down over time. you know we're still shipping some milan but i would say that's come down over time In general, people want to use the more the newer products because they're just more, you know, efficient in every aspect, from performance, from cost structure, from, you know, power standpoint. in general people want to use the more the newer products because they're just more you know efficient in every aspect from performance from cost structure from you know power standpoint That's what we're seeing. that's what we're seeing By the way, I should also mention, you know, in addition to, you know, what we're seeing in the Cloud segment of, you know, server, we're seeing really nice, you know, strong pickup in enterprise. There as well, we're seeing our newer products do very well. From, from our standpoint, it is all about, you know, ensuring that, you know, we ship what the customer needs. In this case, it typically is our newer products and, you know, we expect that to continue. As we transition into Venice later this year, we will, you know, expect Turin and Genoa to continue shipping, but there's a lot of goodness in going to the new products. By the way, I should also mention, you know, in addition to, you know, what we're seeing in the Cloud segment of, you know, server, we're seeing really nice, you know, strong pickup in enterprise. by the way i should also mention you know in addition to you know what we're seeing in the cloud segment of you know server we're seeing really nice you know strong pickup in enterprise There as well, we're seeing our newer products do very well. there as well we're seeing our newer products do very well From, from our standpoint, it is all about, you know, ensuring that, you know, we ship what the customer needs. from from our standpoint it is all about you know ensuring that you know we ship what the customer needs In this case, it typically is our newer products and, you know, we expect that to continue. in this case it typically is our newer products and you know we expect that to continue As we transition into Venice later this year, we will, you know, expect Turin and Genoa to continue shipping, but there's a lot of goodness in going to the new products. as we transition into venice later this year we will you know expect turin and genoa to continue shipping but there's a lot of goodness in going to the new products On the supply chain side, I know there's been a lot of discussion about how tight the supply chain is. The supply chain is tight, I would definitely say that, but I also think this is an area where we excel. We have very deep relationships across the supply chain, on the wafer side, on the back end, capacity side, and we are seeing meaningful improvements in that. As our customers come to us with more demand, we are getting more supply. The good thing about this is we're now talking about 2027 CPU demand. We're talking about 2028 CPU demand, that allows us to just plan much better as we go forward. On the supply chain side, I know there's been a lot of discussion about how tight the supply chain is. on the supply chain side i know there's been a lot of discussion about how tight the supply chain is The supply chain is tight, I would definitely say that, but I also think this is an area where we excel. the supply chain is tight i would definitely say that but i also think this is an area where we excel We have very deep relationships across the supply chain, on the wafer side, on the back end, capacity side, and we are seeing meaningful improvements in that. we have very deep relationships across the supply chain on the wafer side on the back end capacity side and we are seeing meaningful improvements in that As our customers come to us with more demand, we are getting more supply. as our customers come to us with more demand we are getting more supply The good thing about this is we're now talking about 2027 CPU demand. the good thing about this is we're now talking about 2027 cpu demand We're talking about 2028 CPU demand, that allows us to just plan much better as we go forward. we're talking about 2028 cpu demand that allows us to just plan much better as we go forward

Speaker 2: Excellent. Just a quick one for Jean. I'm just curious to follow up on Stacy's question on OpEx. I guess I was a little surprised that SG&A is kinda outpacing R&D. I was just kinda curious, is that startup costs? I mean, 'cause in a strong market, you wouldn't think you would have to discount or have a big sales effort. I'm just kinda curious for the year how you think about R&D growth versus SG&A. Excellent. excellent Just a quick one for Jean. just a quick one for jean I'm just curious to follow up on Stacy's question on OpEx. i'm just curious to follow up on stacy's question on opex I guess I was a little surprised that SG&A is kinda outpacing R&D. i guess i was a little surprised that sg&a is kinda outpacing r&d I was just kinda curious, is that startup costs? i was just kinda curious is that startup costs I mean, 'cause in a strong market, you wouldn't think you would have to discount or have a big sales effort. i mean 'cause in a strong market you wouldn't think you would have to discount or have a big sales effort I'm just kinda curious for the year how you think about R&D growth versus SG&A. i'm just kinda curious for the year how you think about r&d growth versus sg&a

Speaker 4: I think for the year, you should expect us to grow R&D much faster than SG&A. I think, in the past few quarters, we have been really building our go-to-market machine, and we have been investing more in sales marketing side. Going forward, you should expect the year-over-year growth, R&D will grow faster than SG&A growth. I think for the year, you should expect us to grow R&D much faster than SG&A. i think for the year you should expect us to grow r&d much faster than sg&a I think, in the past few quarters, we have been really building our go-to-market machine, and we have been investing more in sales marketing side. i think in the past few quarters we have been really building our go-to-market machine and we have been investing more in sales marketing side Going forward, you should expect the year-over-year growth, R&D will grow faster than SG&A growth. going forward you should expect the year-over-year growth r&d will grow faster than sg&a growth

Speaker 6: If I just add to that, Blaine, the places that we invest, Jean's absolutely right. We're investing in R&D, ahead of, you know, sales and marketing. The places that we're investing in sales and marketing are paying off. The investments are going into enterprise servers, they're going into commercial PCs, they're going into mid-market, small and medium business. These are places where AMD traditionally didn't invest. Now that, you know, we have a much broader portfolio, both on the server CPU and on the commercial PC side, it makes sense for us to invest because, you know, that's sort of the very best part of those markets. If I just add to that, Blaine, the places that we invest, Jean's absolutely right. if i just add to that blaine the places that we invest jean's absolutely right We're investing in R&D, ahead of, you know, sales and marketing. we're investing in r&d ahead of you know sales and marketing The places that we're investing in sales and marketing are paying off. the places that we're investing in sales and marketing are paying off The investments are going into enterprise servers, they're going into commercial PCs, they're going into mid-market, small and medium business. the investments are going into enterprise servers they're going into commercial pcs they're going into mid-market small and medium business These are places where AMD traditionally didn't invest. these are places where amd traditionally didn't invest Now that, you know, we have a much broader portfolio, both on the server CPU and on the commercial PC side, it makes sense for us to invest because, you know, that's sort of the very best part of those markets. now that you know we have a much broader portfolio both on the server cpu and on the commercial pc side it makes sense for us to invest because you know that's sort of the very best part of those markets

Speaker 7: All right. Thank you very much, everybody, for joining and your interest in AMD. John, you can go ahead and close the call now. Thanks. All right. all right Thank you very much, everybody, for joining and your interest in AMD. thank you very much everybody for joining and your interest in amd John, you can go ahead and close the call now. john you can go ahead and close the call now Thanks. thanks

Speaker 8: Thank you. Ladies and gentlemen, that does conclude the question and answer session, and that also concludes today's teleconference. We thank you for your participation. Please disconnect your lines and have a wonderful day. Thank you. thank you Ladies and gentlemen, that does conclude the question and answer session, and that also concludes today's teleconference. ladies and gentlemen that does conclude the question and answer session and that also concludes today's teleconference We thank you for your participation. we thank you for your participation Please disconnect your lines and have a wonderful day. please disconnect your lines and have a wonderful day