AMDAMD

Greetings and welcome to the AMD first quarter 2026 conference call. I will now turn the conference over to Matthew 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 2, 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 4th 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 2 nanometer 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 3 to 5 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 gigawatts 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 the 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 the 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 1 question and 1 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 1 on your telephone keypad. A confirmation tone will indicate that your line is in the queue. You may press star 2 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.

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 3 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, 1 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.

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.

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.

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.

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 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.

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.

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.

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.

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.

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 3 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.

Yep.

Yeah. Aaron, the best way to think about the server CPU landscape is, you know, again, number 1, 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.

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.

Okay

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.

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.

The China for our business-

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.

Yeah.

Yeah

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.

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.

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.