Thank you and welcome to AMD's second-quarter 2023 Financial Results Conference Call. By now you should have had the opportunity to review a copy of our earnings release and accompanying slide wear. If you have not reviewed these documents, they can be found on the investor relations page at AMD.com. We will refer primarily to non-gapped financial measures during this call. The full non-gapped to gap reconciliations are available in today's press release and slides posted on our website.
Participants on today's conference call are Dr. Lisa Sue, our chair and chief executive officer, and Jean Hu, our executive vice president chief financial officer and treasurer. This is a live column and will be replaced via webcast on our website. Before we begin, I would like to note that Jean Hu will attend the Jeffrey's Semiconductor IT Hardware and Communications Summit on Tuesday, August 29th, and the Deutsche Bank Technology Conference on Thursday, August 31st. Dr. Lisa Sue will attend the Goldman Sachs 2023 CommuniCopia and Technology Conference on Tuesday, September 5th.
Our third quarter 2023 Quiet Period is expected to begin at the close of business on Friday, September 15th. Finally, today's discussion contains four 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 differently from our current expectations. Please refer to the cautionary statement and our press release for more information on factors that could cause actual results to different materially.
With that, I'll hand the call over to Lisa. Lisa? Thank you, Mitch, and good afternoon to all those listening in today. We executed well in the second quarter, launching multiple leadership products, significantly expanding our AI engagements, and ramping our latest N4, Epic, and Ryzen product families.
Second quarter revenue declined 18% year over year to 5.4 billion. Sales were flat sequentially as client and data center segment growth was offset by expected declines in our gaming and embedded segments. AI customer engagements grew by more than seven times sequentially as multiple customers initiated or expanded programs supporting future deployments of Instinct MI250 and MI300 hardware and software at scale.
Looking at the second quarter business results, data center segment revenue of 1.3 billion was down 11% year over year and up 2% sequentially. Although market demand remains mixed, fourth gen Epic CPU adoption accelerated in the quarter with revenue nearly doubling sequentially as cloud providers expanded deployments to power their internal infrastructure and public instance offerings.
In cloud, 30 new AMD instances launched in the second quarter with multiple Genoa instances announced by AWS, Alibaba, Microsoft, and Oracle. Genoa delivers up to 1.9 times more performance in enterprise and cloud applications and 1.8 times more performance per watt than the competition, making it by far the industry's highest performance and most efficient server processor.
As an example, AWS announced its M7A Genoa instance, which is the highest performance and best price performance general purpose x86 instance they offer. In total, there are now more than 670 AMD powered cloud instances publicly available and we expect that number to grow 30% to nearly 900 by the end of the year driven largely by new Genoa deployments.
We also expanded our Zen4 server product portfolio in the quarter with the launches of Bergamo and Genoa X. Microsoft Azure announced the first Genoa X HPC instances that offer more than five times higher performance in technical computing workloads compared to their prior generation. With Bergamo, we deliver more than double the performance than competitive offerings for cloud native applications while offering full x86 software compatibility.
在该季度,我们还扩展了Zen4服务器产品系列,推出了Bergamo和Genoa X。微软Azure宣布了第一批Genoa X HPC实例,与之前的一代相比,在技术计算工作负载上性能提高了五倍以上。通过Bergamo,我们在为云原生应用提供全面x86软件兼容性的同时,提供了比竞争对手产品更多一倍的性能。
We were excited to be joined at our launch event by Meta, where they announced plans to deploy Bergamo broadly across their global data center infrastructure to power applications including Facebook, Instagram, and WhatsApp. Looking ahead, Dell, HPE, Lenovo, Super Micro, and other large server providers are on track to begin launching their new Bergamo platforms in the third quarter.
In enterprise, while macroeconomic uncertainty resulted in weaker customer demand year over year, sales of Epic processors for enterprise servers grew sequentially as we close multiple wins with large energy technology, financial services, and healthcare companies. Overall, pull from large enterprises continued to grow. For example, Beko de Brazil, BMP, Peri-Brus, Petronas, Uber, and other large enterprises all adopted Epic processors in the quarter, and SAP selected Epic processors to power rise with SAP applications hosted on Google Cloud.
在企业领域中,尽管宏观经济的不确定性导致了客户需求年度下降,但我们与大型能源技术、金融服务和医疗保健公司达成了多个重要合作,使得企业服务器上的Epic处理器销量出现连续增长。总体而言,大型企业的需求持续增长。例如,Beko de Brazil,BMP,Peri-Brus,Petronas,Uber以及其他大型企业都在本季度采用了Epic处理器,而SAP则选择了Epic处理器来提升托管在谷歌云上的SAP应用的功能。
We expect Epic revenue to grow by a double digit percentage sequentially in the third quarter led by the expanding 4th gen Epic CPU ramp. In addition, Sienna, our first Epic processor, optimized for leadership, edge server, and telco infrastructure, is on track to launch this quarter.
Turning to our broader data center business and networking, the largest cloud providers expanded their adoption of Pensando DPUs in the quarter, highlighted by new deployments with Alibaba and Oracle Cloud.
In super computing, Epic and Instinct processors continued to be the solutions of choice for the most powerful supercomputers in the world, powering 121 of the fastest systems on the latest top 500 list, and seven of the 10 most efficient systems on the green 500 list.
In AI, we made strong progress in the second quarter as we met key hardware and software milestones to address the growing customer pull for our data center AI solutions. Our AI strategy is focused on three areas. First, deliver a broad portfolio and multi-generation roadmap of leadership GPUs, CPUs, and adaptive computing solutions for AI inferencing and training. Second, extend the open and proven software platform we have established that enables our AI hardware to be deployed broadly and easily. And third, expand the deep and collaborative partnerships we have established across the ecosystem to accelerate deployments of AMD-based AI solutions at scale.
We delivered on all three fronts in the second quarter. On the software and partnership side, hugging face announced plans to optimize thousands of their models for AMD Instinct, Ryzen, Epic, Radeon, Versal, and Alveo platforms. To make it easier for developers to tap into the full performance and features of our AI hardware, we delivered a significant performance and feature update in our latest RACAM software and expanded support for AMD silicon across the leading frameworks, including PyTorch, TensorFlow, Onyx, and technologies like OpenAI Triton. We are receiving positive feedback on the improvements and the new capabilities of our latest RACAM software stack from our AI customers and ecosystem partners. As an example, leading AI software company Mosaic ML recently highlighted that our Instinct MI250 accelerator delivers competitive training performance with minimal or no changes to the underlying AI software.
On the hardware side, we announced our new Instinct MI300x GPUs, designed to be the world's most advanced accelerators for generative AI. MI300x combines our next-gen CDNA3 architecture with the industry's largest memory footprint and fastest memory bandwidth. These are critical factors in AI inferencing performance. Customer interest in our Instinct MI300A and MI300x GPUs is very high. Engagements with top-tier cloud providers, large enterprises, and numerous leading AI companies significantly expanded in the quarter. We are providing early system access and sampling both products with our lead AI, HPC, and cloud customers now, and remain on track to launch and ramp production in the fourth quarter.
Turning to our client segment, revenue declined 54% year over year to 1 billion. Client segment revenue increased 35% sequentially as Ryzen's 7000 series CPU sales grew significantly, led by the launches of new notebooks from the largest OEMs. We also launched new commercial offerings with our first Ryzen Pro Notebook and desktop processors powered by our leadership Zen4 architecture. More than 100 AMD powered commercial PC platforms are on track to launch this year from HP, Lenovo, and other leading OEMs as we grow this important part of our client business. We expect our client segment will grow in the seasonally stronger second half of the year based on the strength of our product portfolio and increased adoption of our Ryzen 7000 CPUs, including the ramp of our Ryzen 7040 mobile CPUs that deliver leadership performance and energy efficiency and are the industry's first x86 processors with a dedicated AI engine. Going forward, we see AI as a significant PC demand driver as Microsoft and other large software providers incorporate generative AI into their offerings. We are executing a multi-generational Ryzen AI processor roadmap which together with our ecosystem partners will fundamentally change the PC experience.
Now, turning to our gaming segment. Revenue declined 4% year over year to 1.6 billion as higher semi-custom revenue was more than offset by lower gaming graphics sales. Sequentially, segment revenue declined 10%. Semi-custom SOC sales were strong in the quarter as Microsoft and Sony had healthy console demand based on improved retail availability globally and the launches of new AAA games. In gaming graphics, we expanded our Radeon 7000 GPU series in the second quarter with the launch of our mainstream RX 7600 cards for 1080p gaming. We are on track to further expand our RDNA3 GPU offerings with the launch of new enthusiast class Radeon 7000 series cards in the third quarter.
Turning to our embedded segment, revenue increased 16% year over year to 1.5 billion. Sequentially, revenue declined 7% as solid demand with industrial vision and healthcare. Automotive and broadcast customers was offset by softness with communications customers as some operators slowed their infrastructure upgrades.
We expanded our leadership adaptive computing product portfolio in the quarter launching our new virtual premium VP1902 adaptive SOC with advanced chiplet packaging, the industry's largest and most performance solution for emulating and verifying next generation ASICs and SOCs. In the low end, we announced our Spartan UltraScale Plus FPGA family to address a new range of cost-optimized industrial, computer vision, healthcare and robotics applications. We also released enhanced versions of our Vivado and VITA software platforms that make it easier for customers to develop highly performant applications for our versatile adaptive SOCs.
在本季度,我们扩大了我们的领导地位,推出了全新的虚拟高级VP1902自适应SOC,采用先进的芯片模块封装。这是业界最大、性能最强的解决方案,用于仿真和验证下一代ASIC和SOC。在低端产品方面,我们宣布推出Spartan UltraScale Plus FPGA系列,以满足成本优化型工业、计算机视觉、医疗和机器人应用的需求。我们还发布了增强版的Vivado和VITA软件平台,使客户能够更轻松地开发高性能应用程序,以适用于我们多功能的自适应SOC。
Embedded CPU sales grew in the quarter with the launches of new AMD powered security, storage and networking solutions from HPE, Fortinet and other leading vendors. Looking into the second half of the year, after delivering six quarters of very strong year over year growth, we expect embedded segment revenue to decline in the back half of the year as lead times normalize and some customers reduce their inventory levels. We continue to be very pleased with our embedded design with momentum and in particular the growing revenue synergy opportunities we see based on our combined adaptive and embedded processing product portfolio.
In summary, we executed well in the quarter against our strategic priorities. Looking at the second half of the year, we expect the PC market to grow seasonally with more normalized inventory levels across the supply chain. In the data center market, we see a mixed environment as AI deployments are expanding. However, cloud customers continue optimizing their data center compute and enterprise customers remain cautious with new deployments. Against this backdrop, we expect strong growth driven by higher fourth gen epic and rising 7,000 processor sales and initial shipments of our instinct MI 300 accelerators in the fourth quarter.
总结一下,本季度我们在战略重点方面表现出色。展望下半年,我们预计个人电脑市场将随着供应链库存水平的逐步正常化而季节性增长。在数据中心市场,我们看到人工智能部署正在扩大,但云客户继续优化其数据中心计算,企业客户在新部署方面仍持谨慎态度。在这种背景下,我们预计第四代Epic处理器和七千系列处理器的销售将带来强劲增长,并在第四季度初开始出货我们的Instinct MI 300加速器。
Longer term, while we are still in the very early days of the new era of AI, it is clear that AI represents a multi-billion dollar growth opportunity for AMD across cloud, edge and an increasingly diverse number of intelligent endpoints. In the data center alone, we expect the market for AI accelerators to reach over 150 billion by 2027. We have increased our AI related R&D ecosystem enablement and go-to market investments to capture a significant share of this emerging market. The strong progress we are making executing our AI roadmaps and the rapid pace at which we are expanding our ecosystem of AI hardware and software partners makes us very confident we can deliver leadership training and inference solutions powered by our instinct epic rising AI, versatile and alveo platforms for our customers and partners.
Now I'd like to turn the call over to Jean to provide additional color on our second quarter results and our outlook for Q3.
现在我想把电话转给Jean,让她对我们第二季度的业绩和第三季度的展望提供额外的说明。
Jean. Thank you Lisa and good afternoon everyone. I'll start with a review of our financial results for the second quarter and then provide our current outlook for the third quarter of fiscal 2023.
We're pleased to read our second quarter results with the revenue of 5.4 billion and the diluted earning per share of 58 cents. On a year-over-year basis, revenue decline 18% as growth in the invited segment revenue was more than offset primarily by lower client segment revenue. Revenue was flat compared to the first quarter as growth imposed the client and the data center segments was offset by expected declines in the gaming and the embedded segment. Growth margin was 50% down approximately 4 percentage points from a year ago, primarily driven by lower client segment performance partially offset by strong embedded segment performance.
Operating expenses were 1.6 billion and increased over 3% year-over-year, primarily due to higher R&D investments. Operating income was 1.1 billion, down 914 million year-over-year and the operating margin was 20%. Interest expense Texas and other was 100 and the 20 million. For the second quarter, diluted earning per share was 58 cents compared to $1.05 in the same period last year. EPS declined on a year-over-year basis primarily due to client segment performance.
Now turning to our reportable segment for the second quarter. Starting with the data center segment, revenue was 1.3 billion, down 11% year-over-year, mainly due to lower third generation IPAC processor sales as enterprise demand was softer and inventory levels were elevated at certain MDC customers. Data center revenue grew sequentially with strong sales over our fourth generation IPAC processors, specifically GenWA, partially offset by decline in adaptive SOC product sales.
Data center segment operating income was 147 million or 11% of revenue compared to 472 million, also 2% year-over-year. Lower operating income was primarily due to lower revenue and increased R&D investment to support future growth.
Client segment revenue was 98 million, down 54% year-over-year due to reduced process shipment resulting from weaker PC market and significant inventory correction across the PC supply chain. On a sequential basis, revenue grew 35% as we dreamt out rising 7,000 series processors and the PC market conditions improved. Client segment operating loss was 69 million compared to operating income of 676 million a year ago, primarily due to lower revenue. We expect client segment to return to profitability in the third quarter.
Gaming segment revenue was 0.6 billion, down 4% year-over-year. Semi-customer revenue grew year-over-year which was more than offset by lower gaming graphics revenue. On a sequential basis, gaming revenue declined 10% in line with our expectations. Gaming segment operating income was 225 million of 14% of revenue compared to 187 million or 11% year-over-year due to higher semi-customer revenue.
Embedded segment revenue was 1.5 billion. Up 16% year-over-year, primarily driven by strengths in industrial, patient, healthcare, automotive, test, and emulation market. On a sequential basis, embedded segmented revenue declined 7% primarily due to weaker communication market demand. Embedded segment operating income was 757 million or 52% of revenue compared to 641 million or 51% a year ago, primarily driven by higher revenue.
Turning to the balance sheet and cash flow, during the quarter, we generated 379 million in cash from operations. Free cash flow was 254 million. Inventory increased by 332 million to support the continued ramp of advanced technology products. We expect inventory to decline as we ship this product to customers in the second half of the year. At the end of the quarter, cash equivalent and the short-term investment was drawn at 6.3 billion.
Now, turning to our third quarter, 2023 outlook. We expect revenue to be approximately 5.7 billion, plus or minus 300 million, an increase of approximately 2.5% year-over-year, and approximately 6.5% sequentially. Year-of-year, we expect revenue for the client segment to be up, data center segment to be flatish, and the gaming and embedded segments to decline. Sequentially, we expect the client and the data center segment to each grow by a double-digit percentage, and the gaming and embedded segments to decline. Nangagap growth margin to be approximately 51%. Nangagap operating expenses to be approximately 1.65 billion. Nangagap effective tax rates to be 13%, and the diluted share account is expected to be approximately 1.63 billion shares.
In closing, I'm pleased to read our second quarter, top line, and bottom line execution. We expect our new product ramps across the data center and the client segment to drive sequential growth into the third quarter. Importantly, our leadership product portfolio, data center, and AI investment priorities, and the financial strength positioned us well for long-term growth. With that, I'll turn it back to Mitch for Q&A session. Thank you, Jay. John, we're happy to pull the audience for questions. Thank you.
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 question queue. You may press star 2 if you would like to remove your 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, will we pull for questions. And the first question comes from the line of Matt Ramsey with TD Cowan. Please proceed with your question.
Yes, good afternoon. Thanks for taking my questions. Congrats on the results. I guess, Lisa, my first question is around the data center business. I think we're all across the industry observing a shift in workload and spending patterns like maybe we've arguably never seen. And your company is in a great position to participate on both sides of that, on the CPU strength and obviously in the AI space.
Last quarter, you had given us some metrics around potentially being able to grow your data center business by 50% in the second half of the year versus the first half. And maybe you could give us a little bit of an update on how you're thinking about that milestone and the drivers of growth across CPU and accelerator for the back half. Thanks.
Yeah, sure, Matt. Thanks for the question. So you're absolutely right. You know, it's a very dynamic market right now in the data center. We certainly see, you know, let me go through some of the pieces. So on the positive side, we certainly see that acceleration of AI demand from our standpoint, we see it in a couple ways. You know, we have a number of design wins in AI deployments as, you know, sort of the CPU that goes with GPUs as well as other accelerators. So in the head nodes, we've seen that positive on the CPU side. We've also seen some strong interest in our MI 250 accelerator, which is currently shipping right now. And we see very strong pull on the MI 300 accelerators that are starting production in the fourth quarter. So those are the positive market dynamics as we go into the second half of the year.
You know, we also see some of the softer cloud spend that is happening outside of AI as some of the cloud vendors are optimizing, you know, sort of their, their CAPEX and enterprise, I would say, is still on the weaker side. But with all of that in place, we are expecting a large ramp in the second half for our data center business and weighted towards the fourth quarter. And we are still looking at a zip code of let's call it 50% plus or minus second half to first half. So it's a lot of, it's a big ramp. But, you know, when we looked at all the components, I think the customer pull is certainly there. And it's exciting to be in this part of the industry.
Thank you for that, Lisa. I guess it's my follow-up still sticking with the data center business. Your company is aggressively trying to ramp up the hardware and the software side of the MI 300 programs to support AI. There's been some conflicting reports as to whether all of those deployments are on time. I think you've in the prepared script said what you guys think about that. I guess my question is really around the software work and the hardware itself that you're doing with your lead customers. Maybe you could give a little bit about, I guess, firstly, how the customer feedback has been on the performance of the hardware itself. And secondly, how you think the software work you're doing with your lead customers will translate into other customer deployments as we work there next year. Thanks.
Yeah, sure, absolutely. So, you know, if I give you just some color on, you know, sort of how the customer engagements are going, you know, there's very strong customer interests across the board in our AI solutions. That includes what's called multiple tier one hyperscalers that we're engaged with. It includes some large enterprises. And it also includes sort of this new category of some of these AI centric companies that are, you know, sort of very forward looking in terms of how they're deploying and building AI solutions. So, you know, from that aperture, we've made a lot of progress with our Rockam Software Stack. You know, I'm actually, you know, there's a lot more to do, but I would say the progress that we've made has been significant. We're getting lots of feedback from those lead customers. You know, we're seeing, you know, the benefits of the optimization. So, you know, working, you know, also on the higher level, you know, model frameworks, the work that we're doing with the PyTorch Foundation, the work that we're doing with Onyx, with Triton. And the key is we're getting, you know, significant real time feedback from some of these lead customers. So, we're learning at a very fast pace.
In terms of the feedback on, you know, performance, you know, a number of companies have now been able to look at MI250 across a broad range of workloads. And that's a good translation as you go to MI300, and the feedback's been, you know, quite positive. We have, you know, customer sampling either on our, you know, sort of lab systems, they're accessing the hardware or sampling in their labs. And I would say, you know, so far very positive. The pull is there. There's a lot of work to be done, but we feel very good about the progress of our overall, you know, AI solutions for the data center.
Thanks, Lisa. Thanks, Matt. And the next question comes from the line of Aaron Rakers with Wells Fargo. Please proceed with your question.
谢谢,Lisa。谢谢,Matt。下一个问题来自华尔街的Aaron Rakers,请继续提问。
Yeah, thanks for taking the question. Just kind of building on Matt's, you know, Matt's comments or questions. I just want to go back to kind of the implied, you know, revenue for the data center business for the back half the year. Gene, I think last quarter you alluded to, you know, for the full year, the expectation is still growing 10% or double digits, I should say, for the full year of the data center business. Just confirming that. And I guess what I'm really trying to ask is I guess given the guidance of flat year over your growth in data center in 3.2, it would seem if my math's correct, you're implying a 50% or so increase, you know, sequentially into 4Q. I'm just trying to frame exactly how you're thinking about the cadence of what, you know, 4Q looks like underpinning that expectation.
Hey, Aaron, thanks for the question. I think as Lisa just mentioned earlier, it's very dynamic market. Their puts and the takes, we have a tremendous strong momentum with our product portfolio. But there's continued softness in enterprise market and also cloud optimization is still ongoing. So overall, on balance, we think a year of year, it's probably more like a high single digit. It's really, you know, strong ramp, not only in Q3, right? Sequentially, it means double digit, strong double digit, and the Q4, of course, we're going to see continue the sequential strong ramp.
Yep. That's helpful, Gene. And I'm just kind of following up on that as well. I mean, how are you guys, how have you guys kind of managed through, with that ramp in mind, the supply chain side? I know that, you know, your manufacturing partners talked about expanding their capacity significantly, just curious of what you're seeing as far as being able to fulfill that, that degree of demand as we look into, not just this quarter, but into into 4Q.
Yeah, sure. Aaron, so, you know, we have been really investing in our supply chain, you know, sort of the data center growth is so strategic to us that this has been, you know, part of the strategy. So if you look at all aspects of the supply chain from the wafers to the back end capacity, to some of the, you know, specific components that you need to do something of the class of MI 300, we've worked with, you know, the entire supply chain. We feel that we have, you know, ample supply for an aggressive ramp in the fourth quarter and into 2024. But this is certainly one of the areas that, you know, we spent quite a bit of time to ensure that we do have that confidence.
Thank you. Thanks, Aaron. And the next question comes from the line of Toshia Hari with Goldman Sachs. Please proceed with your question.
谢谢。感谢你,Aaron。下一个问题来自高盛的Toshia Hari。请您提出您的问题。
Hi. Thank you so much for taking the question. My first one is on the data center business as well. I just wanted to follow up on sort of a Q3 to Q4 dynamic. And I do apologize if I missed this. But in the implied growth rate in data center and Q4, can you speak to, you know, what percentage of that is supercomputing? I think there's a big project that's slated to ship in Q4. And is there any contribution from the instinct series outside of supercomputing as well? Or is it primarily your server CPU franchise?
Yeah, sure, Toshia. Thanks for the question. So, you know, as Gene said, into the third quarter, we expect double-digit sequential growth in data center. That's primarily epic. So that's primarily the Zen4, let's call it the combination of, you know, Genoa Bergamo as that continues to ramp. As we go into the fourth quarter, there is an implied significant ramp in revenue. I think there are multiple components to that. So there is the server CPU side will continue to ramp as we see Zen4 ramp. There is a, you know, sort of large, you know, called lumpy supercomputer wins. So our El Capitan win will be in the fourth quarter primarily with the little bit in the first quarter. And then we will have contribution from, you know, both MI 300X going to, you know, large AI customers as they start their initial ramps, as well as MI 250s with a number of customers who have, you know, now, you know, view that as a very, very good option for some of the workloads that are not necessarily the largest language models or the largest parameters. Let's call it, you know, more, you know, sort of the other AI workloads. So those are the components of the fourth quarter, you know, sort of implied growth. You know, lots of pieces to it, but, you know, clearly a big piece of it is the MI 300 ramp.
And then shifting gears a little bit, follow up question on the client side. You talked about the business returning to profitability in Q3, which is great. But you're still well below where you were in 21 and 22 from an operating margin perspective.
Can you speak to the competitive landscape in the client business? Is there a path back to, you know, call it 20%, 30% operating margins there? And do you have any cost initiatives ongoing to get you back to that level of profitability in client?
Yeah, sure. Maybe let me start and then maybe Jean can add some comments. So look, I think, you know, the PC business has been, you know, sort of fairly, fairly volatile over the last number of quarters from the pandemic highs to some of the inventory digestion that we were all dealing with.
I can say that I'm pleased to say that, you know, I think the growth that we're seeing that we saw here in the second quarter and that, you know, we see in the second half is, you know, the strength of our product portfolio. I think the rise in 7000 series is doing well. There's good customer pull.
I think from a competitive dynamic standpoint, you know, the business is always competitive, but we feel good about, you know, the most important thing that was a little bit of a drag on operating margins was the revenue, you know, the revenue being low as well as, you know, some of the, you know, we had a case where the, the sell-in was below consumption as we were normalizing inventory levels in the supply chain.
As we get past that, what we see is, you know, I think the client business, you know, continues to grow. You know, we believe that, you know, client will grow into 2024 as well. In terms of some of the cost initiatives, we have been, let's call it, optimizing, you know, sort of the overall, you know, R&D footprint, but maybe I'll let Jean come in some more.
Yeah, on the OPEC side, the team has done a great job during this process to really optimize the investment in client on the segment to be more efficient and effective. If you look at the overall company level, our OPEC has been largely flatish, but we are investing in AI data center and strategic priorities we have, which generate a much higher return on investment. So we have optimized it. We feel pretty good about this level of operating expense to continue to invest in client on the segment.
As Lisa mentioned, it's really about revenue. The model will leverage it to generate profitability. We should be able to get back to 20%.
正如丽莎所提到的,这实际上是关于收入的。这个模型将利用它来实现盈利能力。我们应该能够回到20%。
Thank you.
谢谢您。
And the next question comes from the line of Harlan, sir, with JP Morgan. Please proceed with your question.
下一个问题来自JPMorgan的哈兰先生,请提出您的问题。
Yeah, good afternoon. Thank you for taking my question. Good to see the quarter over quarter inflection in your epic business targeted enterprise customers. You did mention the continued muted environment in enterprise. But the team continues to drive share gains with global corporations or ramping Genoa. Are you anticipating your enterprise segment to contribute to the strong second half growth profile of your data center business?
Yeah, thanks for the question, Harlan. Look, enterprise business is very strategic to us. We feel that we're underrepresented. It's a place that we're putting more resources because, again, when we look at the value proposition of Genoa and the entire sort of Zen4 portfolio, we think it plays very well into the enterprise. So pleased to see the growth in the second quarter. We do believe that we're on a path to continue to grow into the second half of the year and beyond. And the key here is also investment in some of the go-to-market activities. So investing in more business development folks that can call directly on these enterprise customers together with our OEM partners and ensure that our value proposition is very well understood.
Perfect. Thank you. And then on the accelerated compute side, you know, general purpose compute demand might be muted in China, but there's a significant amount of unmet demand for accelerated compute in this region. I know there were performance thresholds, put in place last year. Maybe US government might lower that performance threshold again soon. I'm not sure, but let's say barring that, right? Has the team looked into developing China's specific SKUs of their MI250 or your new MI300 platforms? It seems like the opportunity here is quite large.
Yeah, Harlan. Look, China is a very important market for us, you know, certainly across our portfolio. You know, as we think about, you know, certainly the accelerator market, you know, our plan is to, of course, be fully compliant with US export, you know, controls. But we do believe there's an opportunity to develop product, you know, for our customer set in China that is, you know, looking for, you know, AI solutions and we'll continue to work in that direction.
And the next question comes from the line of ZVEC, Aria, with Bank of America Securities. Please proceed with your question. Thank you for taking my question.
下一个问题来自美国银行证券的ZVEC、Aria一行,请提出您的问题。谢谢您回答我的问题。
The first one, just a clarification. Would it be reasonable to assume that your GPU accelerator sales, right, could be about, say, 500-ish million this year, so about 7, 8% of data center sales? And if that is the right number, does it mean your server CPU sales are effectively flattish here on this year?
Yeah, I mean, Vavic, I don't know that I would go into quite that granularity. What we will say is, you know, the GPU sales in the first half of the year were very low, as we were, you know, sort of in our product transition timing, as we go into the second half of the year, in particular, the fourth quarter will have MI-300 ramp. I think your number may be a little bit high in terms of the GPU sales, but overall, in general, I think our expectation is that, you know, as Gene said, the data center business, given all of the market dynamics, we see it up high single digits year on year. We see, you know, much better second half compared to first half, and I think the product portfolio and the ramp of Genoa and Bergamo, as well as the ramp of MI-300 are key components of the second half ramp. Thank you, Lisa.
And for my follow-up, just kind of a broader question on AI accelerators in the commercial market, so I'm excluding the supercomputing, the L-capita projects, et cetera. What is the AMD specific edge in this market? You know, they are already strong and established. They're kind of merchant players. They're a number of ASIC options, you know, a number of your traditional competitors, Intel and others, and several startups are also ramping. So my question is, what is AMD specific niche in this market? What is your value proposition and how sustainable is it? Because you're just starting to sample the product now. So I'm trying to, you know, get some realistic sense of how big it can be and what the specific kind of niche and differentiation is for AMD in this market.
Yeah, sure, Vivek. So I think maybe let me take a step back and just talk about, you know, sort of our investments in AI. So our investments in AI are very broad. And, you know, I know there's a lot of interest around data center, but I don't want us to lose track of the investments on the edge as well as in the client. But to your question on, you know, what is our value proposition in the data center? You know, I think what we have shown is that, you know, we have a very strong capability with super computing, as you've mentioned. And then as you look at AI, there are, you know, many different types of AI. You know, if you look across training and inference, you know, sort of the largest language models and what drives some of the performance in there. When we look at MI 300, MI 300 is actually designed to be a highly flexible family of products that looks across, you know, all of these different segments. And in particular, where we've seen a lot of interest is in the, you know, sort of large language model inference. So MI 300 X has, you know, the highest memory bandwidth has the highest, you know, memory capacity. And if you look at that inference workload, it's actually a very, it's very dependent on those things. That being said, we also believe that we have a very strong value proposition and training as well when you look across those workloads and the investments that we're making, not just today, but, you know, going forward with our next generation, you know, MI 400 series and so on and so forth. We definitely believe that we have a very, you know, competitive and capable, you know, hardware roadmap.
I think the discussion about AMD, frankly, has always been about the software roadmap. And we do see, you know, a bit of a change here on the software side, you know, number one, we've put a tremendous amount of resource on it. So, you know, bringing together our former Xilinx software team together with the AMD, you know, sort of a base software team, we've dramatically increased the resources. And also, the focus has now been on, you know, sort of optimizing at these higher level models. So if you, you know, think about the frameworks around, you know, PyTorch and Triton and Onyx, I think, you know, many of the new AI-centric companies are actually optimizing at a different level. And they're working very closely with us. So, you know, in this place where AI is tremendously exciting, I think there will be multiple winners and, you know, we will be first to say that there are multiple winners. But we think our portfolio is actually fairly unique in the sense that we do have CPUs, GPUs, you know, we have the accelerator technology with Ryzen AI on the PC side as well as in the embedded side with our Xilinx portfolio. So I think it's a pretty broad and capable portfolio.
And the next question comes from the line of Stacey Raskin with Bernstein Research. Please proceed with your question.
下一个问题来自伯恩斯坦研究的斯泰西·拉斯金。请继续提问。
Hi guys. Thanks for taking my questions. I wanted to first go back to the Q4 data center guide. So if I do my math right, it's something like $700 million sequentially in data center from Q3 to Q4. So how much of that is the MI300 versus CPU? And given the lumpiness of the LCAP 10 piece, what does that imply for the potential seasonality in the Q1 as most of it rolls off?
Yeah, sure. So it is a large ramp, Stacey, into the fourth quarter. I think, you know, the largest piece of that is the MI300 ramp. But there is also a significant component that's, you know, just the EPIC processor ramp with, as I said, the Zen4 portfolio. In terms of the lumpiness of the revenue and where it goes into 2024, let me give you, you know, kind of a few pieces.
So I think there was a question earlier about, you know, how much of the MI300 revenue was AI centric versus, you know, let's call it super computing centric. The larger piece is super computing, but it's meaningful revenue contribution from AI. You know, as we go into 2024, our expectation is, again, let me go back to the customer interest on MI300x is very high. There are a number of customers that are looking to deploy as quickly as possible. So we would expect, you know, early deployments as we go into the first half of 2024, and then we would expect more volume in the second half of 2024 as, you know, those things fully qualify. So it is going to be a little bit lumpy as we, you know, get through the next few quarters, but our visibility is such that, you know, there are multiple customers that are looking to deploy as soon as possible. And we're working very closely with them to do the coengineering necessary to get them ramped.
I mean, the like of the 700 million, it's like 400 million of the LCAP of 10, or is it 500 million or 300 million? Like, like how big is the LCAP of 10 piece?
You can assume that the LCAP of 10 is several hundred million. Several hundred.
你可以假设10的LCAP是数十亿。几百亿。
Okay. For my follow up, just, you know, growth margins, you know, coming up in the back in the second, I mean, they still kind of missed in the quarter. I know they rounded up to 50, but they were 49.7. I know you're getting 51 for Q3. Like, Jean, where do you see growth margins sitting like in Q4 as we exit the year?
Yeah, I think the growth margin is for us. The primary driver, as we discussed in the past, it really makes, and if you look at our guidance, our outlook of Q3 growth margin of 51%, it's more than one percentage point, the improvement sequentially, despite of very significant height when the firm embedded the business declining in Q3. So the data center and the client and the business are expected to grow double digits sequentially and provide a positive impact on the growth margin, which actually more than offset the height when the firm embedded the business. So going into Q4, again, we're not guiding Q4, and it's going to depend on mix. I would say one thing is you will have similar dynamics, right? The data center is expected to grow very significantly. At the same time, we're going to have the same height when the firm embedded the business declining sequentially. So overall, we do expect the growth margin to improve from this level going forward.
And the next question comes from the line of Joe Moore with Morgan Stanley. Please proceed with your question.
下一个问题来自根斯坦利摩根斯坦利的乔·摩尔,请您发表您的问题。
Great, thank you. You've talked about the embedded business declining as you move into the second half. Can you give us a sense for how much and is that decline a function of the common infrastructure market or are you seeing weakness beyond that part of the market?
Yeah, for Joe, thanks for the question. So look, when I look at the embedded business, I think we should start by remembering that we're coming off of six quarters of very strong growth. I mean, this business has performed extremely well and very pleased with the overall momentum in the business. To your exact question of what we're seeing in the markets, we're actually seeing the core markets hold up pretty well. So let's call it aerospace and defense, strong industrial vision and healthcare, strong testing, emulation, strong. We are seeing communications weakness. So that is the primary driver of the second half commentary. And there's also some inventory optimization, as you might expect, since our lead times have come down over the last several months. So in terms of zip code, I would say, think of it as double digit down sequentially in the third quarter. And that's the current view that we have. But overall, the business has been extremely strong for us. So I think this is an expected decline as we come off the cycle.
Great. And any sense for beyond this quarter? Since we've asked you so many Q4 questions already today, but any sense for, you know, is that kind of the bottom level or do you expect it to be some continued contraction?
As Gene would say, we're not guiding for the fourth quarter, but I think you should expect embedded sort of in that similar zip code. Yeah, that's what I would say. Okay, great. Thank you.
And the next question comes from the line of Timothy or Corey with UBS. Please proceed with your question. Thanks a lot. Gene, my first question is on inventory. You said it's going to come down a bit as you ramp into the Q4. Obviously, you have a big Q4. Can you sort of shape that out for us? Before this, normalize inventory days were kind of 90 to 100 days. Where do you think you're going to exit Q4 in terms of inventory days?
Yeah, Tim, thanks for the question. I think as we ramp those product lines in Q3 and Q4, you will see inventory come down first in Q3 and in Q4 again. I think the inventory days of inventory probably will be around 100 to 10 to 120 days. The key thing is, right, if you look at a multivile product, they are like advanced process technology, 5 nanometer, 4 nanometer, 6. The manufacturing cycle tends to be long. So in the longer term, you should expect us from days of inventory to be around 100 to 120 days versus traditionally, like 80 days or 75 days. That will be too short for really most advanced process technologies. Thanks a lot.
Then my follow up is for you, Lisa. If you add up the units, the customer interest, you can easily get to several 100,000 units. It seems to me for the MI300X next year. The question really is on the supply chain and particularly COOS. Do you think that's going to be a bottleneck for you? I know that they've been expanding capacity. I know you've been trying to procure more there. Can you talk about that? Do you think that supply could become a limiting factor for you next year?
Thanks. Absolutely. I'm not going to comment on the exact units, but what I will say is that we've been focused on the supply chain for MI300 for quite some time. It is tight. There's no question that it's tight in the industry. However, we have sort of commitments for significant capacity across the entire supply chain. So COOS is one piece of it, high bandwidth memory is another piece of it, and then just the general capacity requirements. And look, our goal is to make this a significant growth driver for AMD. I think it's a great market opportunity. We love the engagements with customers. And it's our responsibility to provide the supply for the demand. And so that's what we've been working on. Thanks a lot. Thanks, Tim.
And the next question comes to the line of Christopher Roland with SIG. Please proceed with your question. Hey, guys. Thanks for the question. And more on the MI300 opportunity that you guys called out as a multi-billion dollar growth opportunity. I was wondering if perhaps you could put a time frame around that multi-billion dollar opportunity, but more specifically, have you guys ported over MI300 LLMs to MI300? Have you looked at the performance? How do they perform? Are you excited about that? And then in terms of hyperscale uptake, is it the X version, the GPU only version that you expect to be the biggest seller here? And have you had any semi-custom kind of configurations here that potentially might even include an SPGA or other kind of LEGO movements on the MI300?
Thank you. Sure. So there were a lot of aspects to that question, Chris. So let me try to give you some framework here. I don't think we're ready to talk about timing yet of revenue numbers. What we will say is we do believe it's a multi-billion dollar opportunity. I think 2024 is a very important year for us. Ramping MI300 in multiple customers is sort of in over the next several quarters is very important. I think I mentioned earlier in the Q&A that the customer interest is actually diverse, which is great. It includes sort of what you would expect in terms of the large tier one hyperscalers. But I think these new class of AI-focused companies have been working very closely with us. And then some of the large enterprises are also looking at ramping up their efforts. The performance that we see is strong. I think the large language model work that we've done, we've done a lot of it on MI250 and we've seen very good results. That's on both training as well as inference. I think as we go through MI300, again, the early results are strong. For AI applications, what we're seeing now is MI300x. So let's call it the GPU-only version is the one that is sort of most prevalent in the AI customer engagements. But the MI300A actually, which is sort of where we have the CPU and the GPU more closely coupled together, is also of interest. So I think the key is I think we built the platform that does allow people to choose what is best for the models and for the workloads that they're trying to enable. And that's what we're working on.
Great. And just as a quick follow-up then, Sienna, you know, Telco is a market kind of owned by your competitor there. They have a lot of software around Telco. What kind of share do you think you can take in the Telco market from them over the next few years?
Yeah, we're excited about Sienna. I think Sienna fits, again, it's as you said, it's a niche that we haven't previously been focused on. I think our interactions with the Telco suppliers are there anxious to have Sienna be a part of their portfolio. Sienna is also one that will use for other edge applications or let's call it lower-end applications that need the performance of Zen4, but perhaps not the heavy platform that we have on the Gen1 Bergamo. So, you know, we do think we're starting from a very low point, so there's an opportunity to gain share over the next couple of years and, you know, we'll focus on that. Thanks so much, Lisa.
Thanks, Chris. And the next question comes from the line of Chris Dainley with City. Please proceed with your question.
谢谢,克里斯。接下来的问题来自于Chris Dainley代表City的提问。请提出你的问题。
Hey, team, thanks for squeezing me in. Lisa, so if the MI, you know, 2.5300, etc. ramp or the revenue is mostly GPU-only. What kind of an impact would that have on the AMD gross margin? Would that still be gross margin accretive or dilutive or net neutrality or corporate gross margin?
Yeah, thanks, Chris. So, I think for the, let me just make sure I get the statement clear. So, you know, both MI 300A and MI 300X will be part of the ramp, particularly in the fourth quarter and as we go into next year. For the AI specific applications, we are more heavily weighted towards MI 300X, just given, you know, sort of where the software is written. And to your question about, you know, gross margins at the corporate level, so you would, we would expect that our AI business will be accretive to gross margins at the corporate level. And, you know, obviously, as you start the ramp, there's a little bit of learning, but, you know, overall we expect it to be accretive to our corporate gross margins.
Great. And then, from my follow-up, I just said, I guess, clarification. So, it sounds like most of the MI revenue you have in the hopper right now, or at least the committed revenue is LCAP. Is that true? And, you know, do you have other, I guess, confirmed or hard orders for that, or maybe just spend some time, you know, telling us, you know, how you're working with the customers or what it takes for them to go from, hey, we're interested to, here's a purchase order.
Yeah. So, maybe if your question is, you know, do we have other customers who are committed to MI 300 other than LCAP, the answer is yes. You know, we have a number of customers who are actually committed. And the way these things go, actually, it's not different, not very different than how a server ramp goes, right? I mean, one starts with an initial deployment, you know, ensures that the software works, ensures that, you know, we have all the reliability and capability in the data center, and then they ramp from that. I will say the difference in AI deployments is, I think customers are willing to go very quickly. There is, you know, sort of a desire and a agility, because we all want to accelerate the amount of AI compute that's out there. And so, you know, the speed in which, you know, customers are engaged and customers are making decisions is actually, you know, at, you know, faster than they would in sort of a normal sort of regular environment. And that's great. I think that's helping us, as I said earlier, you know, learn, perfect the software, get all the capabilities in place for a significant ramp next year.
Great. Thanks, Lisa. Thanks. John, we have time for one more question.
太好了,谢谢你,莉萨。谢谢。约翰,我们还有时间再问一个问题。
Okay. And our final question comes from the line of Harsh Kumar with Piper Sandler. Please proceed with your question.
好的。我们的最后一个问题来自Piper Sandler的Harsh Kumar,请提出您的问题。
Yeah. Hey, guys. Thanks for letting me ask a question. Lisa, we're looking forward to an exciting second hop for your company. I had a good question on the server share. Do you think that there is a theoretical limit to the share that AMD can get? Historically, initially, we heard 80, 20 was a prevailing rule. Then you busted through that. Now we're hearing customers say, well, 70, 30 is more like it. More importantly, are there any large vendors for your server business where you have significantly more than 30% share, let's say 40 or even 50% share? And I have a follow-up.
Yeah, sure, Harsh. Thanks for the question. Look, I think the, you know, the, in the server business, I think the most important thing for our customers is that we have a strong roadmap and that it's a roadmap that they can count on. And we've been building that, you know, sort of working model, that roadmap and that trust over the past four or five years. So I don't think there's any theoretical cap on AMD share. I would say if we look today, there are multiple customers who have us deployed in their data centers at more than 50% share.
And, you know, from our view, you know, the place where we have perhaps been a bit more underrepresented is in the enterprise. And that's just a matter of, you know, sort of the breadth of enterprise customers and the breadth of enterprise software. So, you know, we believe that, you know, we have leadership today and we will very, very focused on ensuring that we continue leadership in the market. And, you know, with that, there's an opportunity to continue to gain share in the server market.
Thank you, Lisa. For my second one, can you help us think a little bit about the generative AI spend? Let's say, you know, if you can cite for us some kind of metric, as to how many dollars of spend today are you seeing from your customers on generative AI for, let's say, each dollar of regular, you know, service, even your spend. Is there a metric that we can think of? Is there a trend today? And where do you think it can be in a couple of years?
Yeah, I think, Harsh, the best way to answer that, and, you know, again, we're all, you know, sort of, you know, it's all of crystal ball as to what's going to happen over the next four or five years. There's no question that the demand for generative AI solutions is very high. And, you know, there's a lot of compute capacity that needs to put in. The way we've sized the market is, you know, it can perhaps grow at a rate of, let's call it, you know, 50% KAGR plus or minus over the next three or four years. So that would take us to, you know, a hundred and fifty billion dollar market by the time you get to 2027. Now, that's all accelerators in the data center. So that includes, you know, you know, GPUs that includes, you know, other A6 and other accelerators. But I think we have an opportunity to address a large portion of that market. So that, that makes it, you know, a very, you know, clear priority for us, you know, it's our number one strategic priority. And we'll, you know, continue to work closely with our customers as they optimize between CPU and GPU spend.
Thank you, Lisa. Thank you. Great, John. That concludes today's call. Thank you to everyone for joining us today. Please, gentlemen, you may not disconnect your lines at this time. Thank you for your participation.