Hello and welcome to the AMD first quarter 2023 earnings conference call. If anyone should require operator assistance please press star zero under telephone keypad. A question and answer session will follow the formal presentation. As a reminder this conference is being recorded.
It's time my pleasure to turn the call over to Ruth Cotter. Please go ahead Ruth. Thank you and welcome to AMD's first quarter 2023 financial results conference call. By now you should have had the opportunity to review a copy of our earnings press release and accompanying slide wear. If you've not reviewed these documents they can be found on the investor relations page of AMD.com. We will refer primarily to non-gap financial measures during this call. The full non-gap to gap reconciliation 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 are executive vice president, chief financial officer and treasurer. This is a live call and will be replayed via webcast on our website. Before we begin today's call we would like to note that Jean Hu will attend the JP Manual Technology Media and Communications Conference on Tuesday May 23rd. Dan McNamara, Senior Vice President and General Manager Server Business Unit will attend the Bank of America Global Technology Conference on Tuesday June 6th. And our second quarter 2023 quiet time is expected to begin at the close of business on Friday June 16th.
今天的电话会议参与者包括我们的主席兼首席执行官Lisa Sue博士和执行副总裁、首席财务官和财务主管Jean Hu。这是一次直播电话会议,并将通过我们的网站进行回放。在开始今天的电话会议之前,我们想要提醒大家,Jean Hu将于5月23日星期二参加JP Manual Technology Media and Communications Conference。高级副总裁兼服务器业务总经理Dan McNamara将于6月6日星期二参加美国银行全球技术会议。而我们的2023年第二季度静默期将于6月16日周五下班前开始。
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 the cautionary statement in our press release for more information on factors that could cause actual results to differ materially. Now with that I'll hand the call over to Lisa.
Thank you Ruth and good afternoon to all those listening in today. We executed very well in the first quarter as we delivered better than expected revenue and earnings in a mixed demand environment, launched multiple leadership products across our businesses and made significant progress accelerating our AI roadmap and customer engagement across our portfolio.
First quarter revenue was 5.4 billion, a decrease of 9% year over year. Sales of our data center and embedded products contributed more than 50% of overall revenue in the quarter as cloud and embedded revenue grew significantly year over year. Looking at the first quarter business results, data center segment revenue of 1.3 billion was flat year over year with higher cloud sales offset by lower enterprise sales.
In cloud the quarter played out largely as we expected. FX CPU sales grew by a strong double digit percentage year over year but declines sequentially as elevated inventory levels with some MDC customers resulted in a lower sell in 10 for the quarter. Against this backdrop we were pleased that the largest cloud providers further expanded their AMD deployments in the quarter to power a larger portion of their internal workloads and public instances.
28 new AMD instances launched in the first quarter including multiple confidential computing offerings from Microsoft Azure, Google Cloud and Oracle Cloud that take advantage of the unique security features of our epic processors. In total we now have more than 640 AMD powered public instances available. Enterprise sales declined year over year and sequentially as end customer demand soften due to near term macro economic uncertainty.
We continued growing our enterprise pipeline and closed multiple wins with Fortune 500 automotive technology and financial companies in the quarter. We made strong progress in the quarter ramping our Zen 4 FX CPU portfolio. All of our large cloud customers have Genoa running in their data centers and are on track to begin broad deployments to power their internal workloads and public instances in the second quarter.
我们在这一季度继续拓展我们的企业业务,并与多个财富500强的汽车科技和金融公司取得了合作。我们在这一季度在Zen 4 FX CPU产品组合方面取得了重要进展。所有我们的大型云客户都已在他们的数据中心中安装了Genoa,并计划在第二季度开始广泛部署以支持他们的内部工作负载和公共实例。
For the enterprise Dell HPE Lenovo Supermicro and other leading providers entered production on new Genoa server platforms that complement their existing third gen epic platforms. We are on track to launch Bergamo our first cloud native server CPU and Genoa X our fourth gen epic processor with 3d chiplets for leadership and technical computing workloads later this quarter.
Although we expect server demand to remain mixed in the second quarter we are well positioned to grow our cloud and enterprise footprint in the second half of the year based on the strong customer response to the performance and TCO advantages of Genoa Bergamo and Genoa X.
Now looking at our broader data center business in networking Microsoft Azure launched their first instance powered by our Pensando DPU and software stack that can significantly increase application performance for networking intensive workloads by enabling 10X more connections per second compared to non accelerated instances. We expanded our data center product portfolio with the launch of our first ASIC based alvio data center media accelerator that supports 4 times the number of simultaneous video streams compared to our prior generation. In supercomputing the Max Planck society announced plans to build the first supercomputer in the EU powered by fourth gen epic CPUs and instinct MI300 accelerators that is expected to deliver a three times increase in application performance and significant TCO improvements compared to their current system. Our AI activities increased significantly in the first quarter driven by expanded engagements with a broad set of data center and embedded customers. We expanded the software ecosystem support for our instinct GPUs in the first quarter highlighted by the launch of the widely used PyTorch 2.0 framework which now offers native support for a rockham software. In early April researchers announced they used the looming supercomputer powered by third gen epic CPUs and instinct MI250 accelerators to train the largest finished language model today. Customer interest has increased significantly for our next generation instinct MI300 GPUs for both AI training and inference of large language models. We made excellent progress achieving key MI300 silicon and software readiness milestones in the quarter and were on track to launch MI300 later this year to support the El Capitan Exascale supercomputer win at Lawrence Livermore National Laboratory and large cloud AI customers. To execute our broad AI strategy and significantly accelerate this key part of our business we brought together multiple AI teams from across the company into a single organization under Victor Peng. The new AI group has responsibility for owning our end-to-end AI hardware strategy and driving development of a complete software ecosystem including optimized libraries models and frameworks spanning our full product portfolio.
Now turning to our client segment, revenue declined 65% year-over-year to 739 million as we shipped significantly below consumption to reduce downstream inventory. As we stated on our last earnings call we believe the first quarter was the bottom four client processor business. We expanded our leadership desktop and notebook processor portfolio significantly in the quarter. In desktops we launched the industry's fastest gaming processors with our Ryzen 7000X3D series CPUs that combine our Zen 4 core with industry leading 3D-chiplit packaging technology. In mobile the first notebooks powered by our Dragon Range CPUs launched a strong demand with multiple third-party reviews highlighting how our 16 core Ryzen 9-7945 HX CPU is now the fastest mobile processor available. We also ramped production of our Zen 4 base Phoenix Ryzen 7040 series CPUs in the first quarter for Ultra-Thin and Gaming notebooks to support the more than 250 Ultra-Thin gaming and commercial notebook design wins on track to launch this year from Acer, Asus, Dell, HP and Lenovo. Looking at the year we continue to expect the PC-TEM to be down approximately 10% for 2023 to approximately 260 million units. Based on the strength of our product portfolio we expect our client CPU sales to grow in the second quarter and in the seasonally stronger second half of the year.
Now turning to our gaming segment revenue declined 6% year over year to 1.8 billion as higher semi-custom revenue was offset by lower gaming graphics sales. Semicustom SLC revenue grew year over year as demand for premium consoles remained strong following the holiday cycle. In gaming graphics channel self-true of our radion 6000 and radion 7000 series GPUs increased sequentially. We saw strong sales of our high-end radion 7900 XTX GPUs in the first quarter and were on track to expand our RDNA3 GPU portfolio with the launch of new mainstream radion 7000 series GPUs this quarter.
Looking at our embedded segment revenue increased significantly year over year to a record 1.6 billion. We saw strength across the majority of our embedded markets led by increased demand from industrial vision and healthcare, test and emulation, communications, aerospace and defense, and automotive customers. Demand for our adaptive computing solutions continues to grow as industrial vision and healthcare customers actively work to add more advanced compute capabilities across their product lines. We also released new virus AI software libraries to enable advanced visualization and AI capabilities for our medical customers and launched our next generation Crea platform that provides a turnkey solution to deploy our leadership adaptive computing capabilities for smart camera, industrial and machine vision applications.
In communications, we saw strength with wired customers as new infrastructure design winds ramped into production. We also launched Zinc RF-SOC products to accelerate 4G and 5G radio deployments in cost-sensitive markets and formed our first telco solutions lab to validate end-to-end solutions based on AMDC CPUs, adaptive SOCs, FPGA's, DPUs and software. In automotive, deployments of our adaptive silicon solutions for high-end ADAS and AI features grew in the quarter, highlighted by Subaru rolling out its AMD-based iSight 4 platform across their full range of vehicles. In addition, we expanded our embedded processor portfolio with the launches of Ryzen 5000 and Epic 9000 embedded series processors with leadership performance and efficiency as we focus on growing share in the security, storage, edge server and networking markets. Looking more broadly across our embedded business, we are making great progress in bringing together our expanded portfolio and scale to drive deeper engagements with our largest embedded customers.
In summary, I'm pleased with our operational and financial performance in the first quarter. In the near term, we continue to see a mixed-demand environment based on the uncertainties in the macro environment. Based on customer demand signals, we expect second quarter revenue will be flatish sequentially with growth in our client and data center segments offset by modest declines in our gaming and embedded segments. We remain confident in our ability to grow in the second half of the year driven by adoption of our Zen 4 product portfolio, improving demand trends in our client business and the early ramp of our instinct MI 300 accelerators for HPC and AI.
总之,我对我们第一季度的业务和财务表现感到满意。短期内,由于宏观环境的不确定性,我们继续看到需求环境呈现混合状态。根据客户需求信号,我们预计第二季度收入在客户和数据中心业务增长的同时,游戏和嵌入式业务将略有下降,整体趋势将趋于平稳。我们对自己增长的能力充满信心,因为我们将推广Zen4产品组合,改善客户业务的需求趋势,以及早期启动针对高性能计算和人工智能的Instinct MI 300加速器。
Looking longer term, we have significant growth opportunities ahead based on successfully delivering our roadmaps and executing our strategic data center and embedded properties led by accelerating adoption of our AI products. We are in the very early stages of the AI computing error and the rate of adoption and growth is faster than any other technology in recent history. And as the recent interest in generative AI highlights, bringing the benefits of large language models and other AI capabilities to cloud, edge and endpoints requires significant increases in compute performance. AMD is very well positioned to capitalize on this increased demand for compute based on our broad portfolio of high performance and adaptive compute engines. The deep relationships we have established with customers across a diverse set of large markets and our expanding software capabilities. We are very excited about our opportunity in AI. This is our number one strategic priority and we are engaging deeply across our customer set to bring joint solutions to the market led by our upcoming instinct MI 300 GPUs. Ryzen 7040 series CPUs with Ryzen AI, zinc ultra scale plus MPSOCs, LVOV 70 data center inference accelerators, and versatile AI adaptive data center and edge SOCs.
从长远的角度来看,我们面临着重大的增长机遇,这是基于我们成功地实现了路线图和执行了我们的战略数据中心和嵌入式产品,还因为我们会加速智能产品的采用。我们处在AI计算时代的非常早期,而其采用率和增长速度比近期历史上的任何其他技术都要快。就像最近对生成AI的兴趣所凸显的一样,将大型语言模型和其他AI能力的好处带到云端、边缘以及端点需要大幅提高计算性能。AMD非常有能力利用这种对计算能力的需求增加,这是基于我们广阔的高性能和适应性计算引擎组合。我们在许多大市场建立了业务伙伴关系,而这些关系正不断扩大,同时也拥有更多软件能力。我们对于我们在AI方面的机遇感到非常兴奋。这是我们的头等战略重点,我们正在与客户深入合作,通过我们即将推出的Instinct MI 300 GPU带领市场提供联合解决方案。我们还有Ryzen 7040系列CPU、 Ryzen AI、锌超大规模MPSOC、LVOV 70数据中心推理加速器以及多功能AI自适应数据中心和边缘SOC。
I look forward to sharing more about our AI progress over the coming quarters as we broaden our portfolio and grow this strategic part of our business. Now I'd like to turn the call over to Jean to provide some additional color on our first quarter results.
Jean? Thank you, Lisa. In the good afternoon, everyone. I'll start with a review of our financial results for the first quarter and then provide our current outlook for the second quarter of fiscal 2023. As a reminder, for comparative purposes, first quarter 2022 results included the only partial quarter financial results from the acquisition of the ZIMC, which closed in February 2022.
Revenue in the fourth quarter was 5.4 billion, a decrease of 9% year-over-year, as embedded segmented strengths was offset by lower client segment revenue. Gold margin was 50% down 2.7% to point from a year ago, primarily impacted by client segment performance. Operating expenses were 1.6 billion increasing 18% year-over-year, primarily due to inclusion of full quarter of expenses from ZIMC and the Pansendo acquisition. Operating income was 1.1 billion, down 739 million year-over-year, and the operating margin was 21%. Intrace expense, taxes, and other was 128 million. For the first quarter that voted the earning per share was 60 cents, due to better than expected revenue and operating expenses.
Now turning to our reputable segment for the first quarter. Starting with the data center segment, revenue was 1.3 billion, flat year-over-year, driven primarily by higher sales of epic processors to cloud customers, offset by lower enterprise server processors sales. Data center segment operating income was 148 million, or 11% of revenue, compared to 427 million, or 33% year ago. Lower operating income was primarily due to product mix and increased the R&D investment to address larger opportunities ahead of us.
Client segment revenue was 739 million, down 65% year-over-year, as we shipped significantly below consumption to reduce downstream inventory. We expected improvement in second quarter Client segment revenue and a seasonal may stronger second half. Client segment operating loss was 172 million, compared to operating income of 6 century and 92 million a year ago, primarily due to lower revenue.
Gaming segment revenue was 1.8 billion, down 6% year-of-year. Seymour customer revenue grew double digit percentage year-of-year, which was more than offset by lower gaming graphics revenue. Gaming segment operating income was 314 million, or 18% of revenue, compared to 358 million, or 19% year ago. The decrease was primarily due to lower gaming graphics revenue.
In better segment revenue was 1.6 billion, up 967 million year-of-year, primarily due to full-quarter over-signing revenue and the strong performance across multiple end-markets. In better segment operating income was 798 million, or 51% of revenue, compared to 277 million of 46% a year ago, primarily driven by the inclusion of a full-quarter over-signing.
Turning to the balance sheet and the cash flow. During the quarter, we generated 486 million in cash from operations, reflecting our strong financial model despite the mixed demand environment. Three cash flow was 300 and 28 million. In the first quarter, we increased the inventory by 464 million, primarily in anticipation of the ramp of new data center and the Client product, in advance to process notes. At the end of the quarter, cash, cash equivalent, and the short term investment were 5.9 billion, and we returned 241 million to share holders through share purchases. We have a 6.3 billion in remaining authorization for share purchases.
In summary, in an uncertain micro-economic environment, the AMD team execute very well, delivering by-trading expected top-line revenue and earnings. Now turning to our second quarter, 2023 outlook. We expect revenue to be approximate by 5.3 billion plus or minus 300 million. A decrease of approximately 19% year-of-year, and approximately flat sequentially. Year-of-year, we expect the Client, Gaming, and the data center segments to decline, partially offset by embedded segment growth. Sequentially, we expect Client and data center segment growth to be offset by modest gaming and the embedded segment to decline. In addition, we expect Nangab growth margin to be approximately 50%. Nangab already expenses to be approximately 1.6 billion. Effective tax rate to be 13%, and the diluted share count is expect to be approximately 1.62 billion shares.
In closing, I'm pleased to read out strong top-line and the bottom-line execution. We have a very strong financial model and will continue to invest in our long-term strategic priorities, including accelerating our AI offerings to drive sustainable value creation over the long-term. With that, I'll turn it back to Ruth for Q&A session. Thank you, Jane, and Kevin, we're happy to pull the audience for questions.
Thank you. We're now beginning to talk about a question and answer session. We ask you, please ask one question, one follow-up, and return to the Q. If you'd like to be placed in the question, Q, please press star one at this time. A confirmation tone will indicate your line is in the question, Q. You may press star two if you'd like to remove your question from the Q. One moment, please, what we pull for questions.
Our first question today is coming from the Zekaria from Bank of America. Your line is now live. Thanks for the question. For my first one, Lisa, when I look at your full-lear data center outlook for some growth, that implicitly suggests data center could be up 30% in the second half versus the first half. I'm curious, what is your confidence and visibility and some of the assumptions that go into that view? Is it, you think there is a much bigger ramp in the new products? Is it enterprise? The recovery is it pricing? Just give us a sense for how we should think about the confidence and visibility of this strong ramp that is implied in your second half data center outlook.
All right, so, in fact, thanks for the question. Maybe let me give you some context on what's going on in the data center right now. First of all, we have said that it's a mixed environment in the data center. The first half of the year, there are some of the larger cloud customers that are working through some inventory and optimization as well as a weaker enterprise. As we go into the second half of the year, we see a couple things.
First, our roadmap is very strong. So the feedback that we're getting working with our customers on Genoa, it's ramping well. It is very differentiated in terms of TCO and overall performance. So we think it's very well positioned. Much of the work that we've done in the first half of the year, in the first quarter, and here in the second quarter is to ensure that we complete all of that work such that we can ramp across a broader set of workloads as we go into the second half of the year. And then I would say, from an overall market standpoint, I think enterprise will still be mixed with the notion that we expect some improvement, depends a little bit on the macro situation.
And then as we go into the second half of the year, in addition to Genoa, we're also ramping Bergamo. So that's on track to launch here in the second quarter and we'll ramp in the second half of the year. And then as we get towards the end of the year, we also have our GPU ramp of MI300. So with that, we start the ramp in the fourth quarter of our supercomputing wins as well as our early cloud AI wins. So those are all the factors, of course, we'll have to see how the year plays out. But we feel very good about how we're positioned from an overall product and roadmap standpoint for data center.
And for my follow up, Lisa, how do you see the market share evolves in the data center in the second half? Do you think that the competitive gap between your and your competitors' products has that knadled? Or you still think that in the second half, you have a chance to gain market share in the data center?
Yeah, absolutely. Well, I mean, we've gained share nicely, you know, over the last four years. When you look at our data center progression, it's actually been pretty steady. As we go into the second half of this year, I think we continue to believe that we have a very strong competitive position. So we do think that positions as well to gain share, you know, in the conversations that we're having with customers, I think they're enthusiastic about Zen4 and what it can bring into, you know, cloud workloads as well as enterprise workloads. I think actually general is extremely well positioned for enterprise where we have been underrepresented. So we feel good about the roadmap. I mean, obviously it's competitive, but we feel a very good about our ability to continue to gain share.
Thank you, Lisa. Thank you. Next question is coming from Toshiyahari from Goldman Sachsville. Is that live? Hi, good afternoon. Thank you so much for taking the question. Lisa, I wanted to ask about the embedded business.
It's been a really strong business for you since the acquisition of Zylinx. You're guiding the business down sequentially in Q2. Is this sort of the macro, you know, slash cycle kicking in or is it something supply related? If you can kind of expand on, you know, the Q2 outlook there on your expectations of the second half, that would be helpful.
Yeah, absolutely, Toshiyah. So first, thanks for the question. I mean, I think the embedded business has performed extremely well over the last four or five quarters. You know, Q1 was another record for the embedded business. When we look underneath it, there is a broad set of market segments that we have exposure to and the majority of them are actually doing very well. Our thought process for, you know, sort of modest, modest decline into Q2 is that, you know, we did have a bunch of backlog that we're in the process of clearing and that backlog, that backlog will clear in Q2 and then we expect that the growth will moderate a bit.
We still very much like the positioning of sort of our aerospace and defense, our industrial, our test and emulation business, our automotive business. We expect, you know, wireless trends to be a little bit weaker as well as consumer trends. So those are the kind of the puts and takes in the market. But I would say, you know, the business has performed well above our expectations.
That's helpful. Thank you. And then as my follow-up, maybe one for Jean on the Gross margin, you know, side of things, in your slide deck, I think you're guiding Gross margins up half over half in the second half. Can you maybe speak to the puts and takes and, you know, the drivers, as you think about Gross margins over the next six and nine months? Thank you.
Yeah, thank you for the question. Our Gross margin is primarily driven by makes. If you look at the first half for first quarter performance and second quarter guide, we are very pleased that we did strong Gross margin performance in both the data center and the embedded segment. We haven't been seeing high winds from a client segment impacting our Gross margin. Going to the second half, we do expect Gross margin improvement because the data center is going up and the embedded continue to be relatively strong. The pace of improvement in the second half actually will be largely depend on the client segment.
We think a client segment Gross margin is also going to improve, but overall it's going to be below corporate average. So the pace of improvement of Gross margins could be depend on the pace of the client business recovery in second half. But in the longer term, right, when we look at our business opportunities, the largest incremental revenue opportunities are going to come from the data center and the embedded segment. So we are building very good about the longer term Gross margin going up continuously.
Yeah, thanks for taking the question. I've got to as well. I guess the first question going back on just like the cadence of the server CPU cycle with Genoa and Bergamo. And I think it's great to hear that you guys are on track to launch Bergamo here. But there's been some discussion here throughout this last quarter around some DDR5 challenges. I think there's PMEC issues. I'm just curious if those issues have presented themselves or how you would characterize the cadence of the ramp cycle of Genoa at this point.
Yeah, sure, Aaron. So yeah, look, I think Genoa, you know, we always said as we launched it, that it would be a little bit more of a longer transition compared to Milan because it is a new platform. So it is the new DDR5. It's PCI Gen 5. And for many of our top customers, they're also doing other things other than upgrading the CPUs. So from that standpoint, I would say the ramp is going about as we expected. We've seen a lot of interest, a lot of customer engineering work that we're doing together in the data centers with our customers. We feel great about the set of workloads and we see expansion in the workloads going forward. Overall, our expectation is particularly as we go into the second half, we'll see Genoa ramp more broadly, but Genoa and Milan are going to coexist throughout the year just given the breadth of platforms that we have.
Anything specific on the DDR5 questions that come up? And I'm curious, but my second question just real quick is the MI300, if we look out beyond just the LCAPATAN deployment through the course of this year, how do you guys think about success in that data center GPU mark?
Yeah, sure, Aaron. So back to the DDR5 question. We haven't seen anything specific on DDR5. It's just normal platform bring up that we're seeing. Now as it relates to your question about MI300, look, we're really excited about the AI opportunity. I think that is success for us is having a significant part of the AI overall opportunity.
AI for us is broader than cloud. It also includes what we're doing in client and embedded, but specifically as it relates to MI300. MI300 is actually very well positioned for both HPCs or supercomputing workloads as well as for AI workloads. And with the recent interest in generative AI, I would say the pipeline for MI300 has expanded considerably here over the last few months and we're excited about that.
We're putting a lot more resources. I mentioned on the prepare remarks, the work that we're doing sort of taking our zilings and sort of the overall AMD AI efforts and collapsing them into a one organization that's primarily to accelerate our AI software work as well as platform work. So, success for MI300 is for sure a significant part of the growth in AI in the cloud. And I think we feel good about how we're positioned there.
That's great. Thank you. Thank you. Next question is coming from Matt Ramsey from TD Town. Your line is now live. Oh yes, thank you. Good afternoon everybody.
Lisa, my first question, I think just the way the business has trended with enterprise and with China in the data center market being a bit softer recently and it seems like that's kind of continuing into the second quarter. It occurs to me that a big percentage of your data center business, particularly in server in the second half of the year, is going to be driven by US hyper scale. And I guess my question is the level of visibility you have to unit volumes to pricing, to timing of ramps.
If you could walk us through that a little bit given, it's customer concentrated. I imagine you'd have some level of visibility and you mentioned growth for the year in data center. If you could be a little bit more precise there, that's a, I understand there's market dynamics, but it's a bit of a vague comment and in terms of just pushed me to ask about quantifying the growth for the year. Thanks.
Sure, Matt, thanks for the question. So, look, I think as we work with our largest cloud customers in the data center segments, particularly with our Epic CPUs, we have very good conversations in terms of what their ramp plans are, what their qualification plans are, which workloads, which instances. So I feel that we have good visibility.
Obviously, some of this is still dependent on overall macro situation and overall demand. But our view is that there is a lot of good progress in the data center. Now in terms of quantification, as I said, there's a lot of puts and takes. My view is that enterprise will improve as we go into the second half, and we're even seeing, I would say some very early signs of some improvement in China as well.
So our view is, I think, double digit data center growth is what we currently see. And certainly, we would like to ramp Genoa and Bergamo as a large piece given the strength of those products. We'd like to see them grow share over the next couple of quarters. Thank you for that, Lisa. That's helpful.
For my follow-up question, I think in the prepared scripts, we're obviously undershipping self-through to clear the channel in the client business in the first half of the year. And I think the language that was used was seasonal improvements in the second half. So you guys expect to come back to shipping in line with self-throughs, so to stop undershipping demand, and then for on top of that seasonal improvements in the market.
Or, and if you could just kind of help me think about the magnitude and the moving pieces in client for the second half. Thanks.
请帮助我思考客户端在下半年的规模和动态。谢谢。
Yeah, so we've been undershipping sort of consumption in the client business for about three quarters now. And certainly our goal has been to normalize the inventory and the supply chain so that shipments would be closer to consumption. We expect that that will happen in the second half of the year.
And that's what the comment meant that we believe that there will be improvements in the overall inventory positioning. And then we also believe that the client market is stabilizing. So, you know, Q1 was the bottom for our business as well as for the overall market, you know, from what we see.
Although it'll be a gradual set of improvements, we do see that, you know, the overall market should be better in the second half of the year. We like our product portfolio a lot. You know, I'm excited about, you know, having AI enabled on our, you know, Ryzen 7,000 series.
What we're seeing is, you know, different customers are at, you know, a different place in their, you know, sort of overall cycle.
我们看到的是,不同的客户在整个周期中处于不同的位置。
But let me say it this way, though. I think we have, you know, good visibility with all of our large customers in terms of what they're trying to do, you know, for the quarter, for the year.
但让我这样说吧。我认为我们对于所有大客户正在为本季度、本年度做什么有着很好的了解。
Obviously, you know, some of that will depend on how the macro plays out.
显然,你知道,这有些取决于宏观经济状况如何发展。
But from our, you know, viewpoint, I think we're also going through a product transition between, you know, Milan and Genoa in some of these workloads.
但从我们的角度来看,我认为我们也正在一些工作负载上进行从米兰到热那亚的产品转换。
So, you know, if you put all those things into, you know, into the conversation, you know, that's why our comment was that we, we do believe that the second quarter will grow modestly and then they'll be more growth in the second half of the year as it relates to the data center business.
Can you talk to, you know, is that right now kind of a revenue pipeline with major hyper-scalers or is that sort of more indication of interest levels, trying to, you know, where you are in terms of establish yourself in that market?
We've continued to do quite a bit of library optimization with MI250 and software optimization to really ensure that that we could, you know, increase the overall performance and capabilities.
我们持续进行了大量MI250的图书馆优化和软件优化,以确保我们可以增加整体性能和功能。
MI300 looks really good.
MI300 的外观非常不错。
I think from everything that we see, you know, the workloads have also, you know, changed a bit in terms of, whereas a year ago, you know, much of the conversation was primarily focused on training, you know, today that has, you know, migrated to sort of large language model inferencing, which is particularly good for GPUs.
Next question is coming from Harlan Sir from JP Morgan. Your line is that live?
下一问题来自JP Morgan的哈兰先生。您的线路通畅吗?请表达您的意思。
Hi, good afternoon. Thanks for taking my question.
大家好,下午好。感谢您回答我的问题。
I'm good to see the strong dynamics and embedded, you know, very diverse at markets.
我很高兴看到市场上的强劲动态和内嵌性,这样非常多样化。
And given their strong market share position here, the Zalins team is in a really good position to catalyze Epic Attach or rise and attach to the FPGA and adaptive compute solutions, right?
So, yeah, so given your a year with Zalins in the portfolio, can you just give us an update on the synergy unlock and driving higher AMD compute attached to Zalins market?
You know, the Zalins portfolio has done extremely well with us, you know, very strong.
你知道,Zalins的投资组合在我们这里表现非常出色,非常强劲。
I would say, you know, we continue to, you know, get more content attached to the FPGA and the adaptive SOCs.
我想说的是,你知道,我们持续地为FPGA和自适应SOC添加更多的内容。
We have seen the beginnings of, you know, good traction with the cross-selling.
我们已经看到了跨销售方面的良好进展。
And that is, you know, opportunity to take, you know, both rising and Epic CPUs into the broader embedded market.
那就是,你知道的,机会来了,可以把不仅是升级版和史诗版的中央处理器推到更广泛的嵌入式市场中。
I think the customers are very open to that.
我觉得客户们非常愿意接受。
I think we have a, you know, a sales force and a go-to-market capability across this customer set that is very, you know, very helpful for that.
我认为我们在这个客户集合上拥有一个销售团队和营销能力,非常有助于这件事情。
So, I do believe that this is a long-term opportunity for us to continue to grow our embedded business.
因此,我相信这是我们持续发展嵌入式业务的长期机遇。
And we've already seen some design wins as a result of the the combination of, you know, the Zalins portfolio and the AMD portfolio. And I think we'll see a lot more of that going forward. Great. Thanks for that.
And in terms of other opportunities, you know, there appears to be this trend towards more of your cloud and hard-to-skill customers opting to do their own silicon solutions around accelerated compute or AI offload engines, right? And if I look at it right there, less than a handful of the world, some even of the companies that have the compute graphics connectivity, I think that's a very powerful little bit that you guys have, as well as the capabilities to design these very complex offload SLCs, right?
Does the team have a strategy to try and go after some of these semi-custom or full-blown ASIC-based decar-skill programs? We do, Harlan, and I would put it more broadly. And the broader point is I think we have a very complete IP portfolio across CPUs, GPUs, FPGAs, adaptive SOCs, DPUs, and a very capable, you know, semi-custom, you know, team. And so, you know, beyond hyperscalers, I think, when you look at, you know, sort of higher volume opportunities, we think they're higher volume opportunities beyond game consoles that there are custom opportunities available. So I think that combination of IP is very helpful. I think it's a long-term opportunity, you know, for us. And it's one of the areas where we think we can add value to our largest customers.
Next question is coming from Ross Seymour from Deutsche Bank, your line is now live. Hi, thanks for letting me ask a question.
下一个问题来自德意志银行的Ross Seymour,你的话筒已经打开。嗨,感谢你让我提出问题。
Lisa, I just want to talk about the pricing environment in general sense. You guys have done a great job of increasing the benefits to your customers and being able to raise prices, pass along cost increases, those sorts of things. But the competitive intensity and the weakness in the market, at least currently, seems to that it could work against that. So in the near-term and then perhaps exiting this year into the next couple of years, can you just talk about where you think pricing is going to go across both your data center market, most importantly, but then also in your client market?
Yeah, I think, Ross, what I would say is a couple things, you know, I think of the data center market, you know, the pricing is relatively stable. And what that comes from is, you know, our goal is to add more capability, right? So it's a TCO equation where, you know, as we're going from, you know, Milan to Genoa, we are adding more cores, more performance, and the performance per dollar that we offer to our customers is one where it's advantageous, you know, for them to adopt our, you know, our technologies and our solutions.
So I expect that. I think in the client, you know, business, you know, given some of the inventory conditions in there, I think that, you know, there's, it's more competitive environment. You know, we're all, you know, from my standpoint, we're focused on normalizing the inventory levels. And, you know, with that normalization, the most important thing is to ensure that we get the shipments more in line with consumption, because I think that's a healthier business environment overall. And then again, it's back to, you know, product values, right? So we have to ensure that, you know, our products continue to offer, you know, superior, you know, performance per dollar, performance per watt, you know, capabilities in the market.
Thanks for that. And pivoting from my follow-up on to the AI side and the MI 300, I just wanted to know what you would describe as your competitive advantages. Everybody knows that the market that's exploding right now, there's tons of demand. You guys have all the IP to be able to attack it. But there's a very large incumbent in that space as well.
So when you think about what AMD can bring to the market, whether it's hardware, software, heterogeneity of the products you can bring, etc. What do you think is the core competitive advantage that can allow you to penetrate that market successfully?
Yeah, there's a couple of aspects, Ross, and you know, since we haven't yet announced MI 300, all of the specifications, you know, some of those will come over the coming quarters. You know, MI 300 is the first solution that has, you know, both the CPU and GPU, you know, together and that has been, you know, very positive for the supercomputing market.
I think as it relates to generative AI, and we think we have a very strong value proposition from both, you know, hardware. And again, it's a performance per dollar conversation. I think there's a lot of demand in the market. And there's also, you know, I think given our deep customer relationships on the epic side, there's actually a lot of synergy between the customer set up between the epic CPUs and the, you know, MI 300 GPU customers. So I think, you know, when we look at all of these together, our view is that demand is strong for AI, and I think our position is also very strong given.
They're very, very few, you know, sort of products that can really satisfy these large language model, you know, sort of needs. And I think we feel confident that we can do that. Thank you.
Thank you.
你知道的,能够真正满足大型语言模型需要的产品非常少。而我们相信自己可以做到。谢谢。
Next question is coming from Tim Mpricuri from UBS. You're right. It's our live. Thanks a lot.
下一个问题来自瑞银的蒂姆·姆普里库里。你说得对,这是我们直播的节目。非常感谢。
Lisa, there's, you know, a lot more talk on this call about AI. And, you know, obviously, PyTorch 2.0 now, you know, supporting RockM as a, you know, great step forward. But how much would you say software is going to dictate how, you know, how successful you can be for these workloads? You had mentioned that you're forming this new group, this new AI group. Do you have the internal software capabilities to be successful in AI?
Tim, I think the answer is yes. I think we have made significant progress, even over the last year in terms of our software capabilities. And, you know, the way you should think about our AI portfolio is, it's really a broad AI portfolio across client, you know, sort of edge as well as cloud. And with that, I think the Zylings team brings a lot of, you know, background and capability, especially in inference. We've added significant talent in our AI software as well.
And, you know, the beauty of particularly the cloud opportunity is it's not that many customers and it's not that many workloads. So when you have, you know, sort of, you know, very clear, you know, customer targets, we're working very, very closely with our customers on optimizing for a handful of workloads that generate significant volume. That gives us, you know, a very clear target for, you know, what winning is in the market. So we feel good about our opportunities in AI.
And, you know, I'd like to say that it's a multi-year journey. So this is the beginning of what we think is, you know, a very significant market opportunity for us over the next three to five years. Thanks a lot.
And I guess as my follow up, so can I, can you just give us a sense of sort of the overall, you know, profile that you see for revenue to the back half? I know you said that data center and embedded will be up this year. It sounds like data center, you know, probably up double digits. But I also want to confirm that you think that total revenue is also will be up this year, year of year.
Right, Tim. So I think, you know, as we said, we're not guiding the full year, just given all the puts and takes. So we see Q2 is flatish, and second half return of growth will have to, you know, see exactly how the macro plays out across, you know, PCs and an enterprise. But yes, we feel, you know, good about, you know, growth and embedded growth in data center, you know, on the data center side, double digit growth, sort of half to year over year. And then, you know, we'll see how the rest of the segments play out. Thank you.
Thank you. Next question is coming from Omnipro Shibrasava from BMO Capital Market, Triline is now live.
谢谢。下一个问题来自来自BMO Capital Market的Omnipro Shibrasava,Triline现已上线。
意思是Omnipro Shibrasava是BMO资本市场的人,他要问关于Triline上线的问题。
I think, excuse me, thank you very much. So actually, we wanted to come back to the first quarter for data center. That's a pretty big gap between on a Q or Q basis, on your business versus Intel. And I think almost 2x. This is the first time you would have lost share on a Q or Q basis in a long time. So because you please address that and I acknowledge that quarters can be pretty volatile. But it seems to be pretty large gap. And then follow up, just remind us again, please for the, for the full year growth for data center, kind of what's embedded in the assumptions for cloud as well as enterprise. Thank you.
Now, let me make sure I get for question, Amber. So you're asking about Q1 data center and whether we think we've lost share on a sequential basis. Right. If I look at just your report versus what Intel reported on a Q or Q basis, it's clearly on a year or a year basis, you have gained share. But I'm just comparing down 14 versus what you reported. And so that would imply that you had to share loss versus them unless the data center GPU and the Zilenex business was down significantly also on a Q or Q basis. Yeah. Emberation, maybe I'll give you a little bit of color.
That's certainly in Q1, the other networking business, including GPU, have been done. That definitely is the case. But from share perspective, when we look at overall Q1 reported revenue from both side and the analyzer the data, we don't be able to we lost share. Yeah, that's right. So I think you just have to go through each of the pieces.
But I think from an epic or server standpoint, we don't believe we lost share if anything we might have gained a little bit. But I think overall, I wouldn't look at it so closely on a Q or Q basis because there are puts and takes. From what we see overall, we believe that we have a good overall share progression as we go through the year. And then the underlying assumptions for full year for days and?
Underlying assumptions for the full year. I think the key pieces that I talked about are, you know, Q2, let's call it modest growth. Still expect some cloud optimization to be happening. As we go into the second half of the year, we'll see a stronger ramp of Genoa and the beginnings of the ramp of Bergamo. We think enterprise is still more dependent on macro, but we do believe that that improves as we go into the second half of the year. And then we'll have the beginnings of our MI 300 ramp in the fourth quarter for both, you know, super computing and some early AI workloads.
Hi guys. Thanks for taking my questions. From my first one, Lisa, can you just like clarify this explicitly for me? So you said double digit data center. Was that a full year statement or was that a second half year of your statement or was that a half-over half statement for data center? Yeah, let me be clear. That was a year-over-year statement. So double digit data center for the full year of 2023 versus 2022. Got it.
Which just given what you did in Q1 and sort of are impliting for Q2, need something like 50% year of year growth in the second half to get there. So you're endorsing those, you're endorsing that now? Yeah, you're my face right. Yeah, that's the choice.
Thank you. For my second question, Gene, you made a common gross margins where you said that the increase of gross margins in the second half was dependent on gross margins in client getting better. I just want to make sure. Did I hear that right? And why should I expect client margins would get better, especially given what Intel has been doing in that space to protect everything? Why is that something that's going to happen?
Yes, Daisy, that's a good question. The way to think about it is if you look at our Q1 gross margin and the Q2 guide around 50%, and as you know, both our data centers and the embedded have a very strong gross margin performance. And so what's the high-the-winded that impact our gross margin is really PC client side, which as we talk about it, is we are shipping significantly under the consumption and also to digest inventory in the downstream supply chain. As you know, typically that's the time you get significant pressure on the ASP side and on the funding side. That's why our gross margin in the client segment has been challenged. In second half, what we know is going to be normalized. That's a very important fact is when you normalize the demand and supply, and we continue to plan a very competitive environment, so don't get us wrong on that front, but it will be better because you are not digested inventory, the channel funding, everything, those kinds of price reduction will be marginalized. So we do think that second half will fly outside the gross margin will be better than first half.
Got it. Thank you. And I apologize. I misspoke as well. I'm 50% half of what happened data center, not year over year. So we're all doing it. Thank you very much. Appreciate it.
Thank you. Thank you. Same question. I had to maybe just start with following on Stacy's fire question. Could you just comment on what client ASPs did in the March quarter? I mean, I assume they're down a decent amount, your competitor was down, but any color you could provide on what the environment was in March.
Yeah, sure. Blaine, so the ASPs were down quite a bit on a year over year basis, if you're talking about the overall client business. And what that is is that's also the client ASPs were higher in the first half of 22 if you just think about what the supply environment was or the demand environment was in that. And given that we're undershipping in the first quarter, the ASPs are lower.
Got you. And then I just wanted to ask you on the data center business, the operating profit is down a ton sequentially. And you talked about enterprise being down, I think that's part of it, but it's a big drop and it looks like gross margin probably is down a bunch too. Can you just comment on why that drop in profitability in data center?
Yeah, Blaine, that's a good question. I think when you look at the year for year, you're absolutely right. Revenue is largely flatish, but operating margin drop significantly. There are two major drivers. The first is that we have increased the investment significantly, especially in networking and the AI. As you may recall, we closed the Pansanto last May or June. So this is the full quarter of Pansanto expenses versus last year plus we also increased GPU investment and the AI investment. That's all under the data center bucket. Secondly, I mentioned about product mix. Lisa said year-of-year cloud sales grow double digit significantly and enterprise actually declined. So in Q1, our revenue in data center is heavily indexed to the cloud market versus last year in Q1. Typically, cloud growth margins lower than enterprise. We do expect even in Q2, it will be balanced, the more balanced and going forward, we do think the enterprise side will come back.
Thanks, but I guess the big decline was sequential. So I'm assuming cloud was down.
谢谢,但我想巨大的下降可能是按顺序发生的。所以我猜测云服务可能出了问题。
Sequential. Sequential, it's a revenue. If you look at the revenue, it was down very significantly. The mix also is a little bit more indexed to cloud, sequentially too. Yeah, it's the same factors. Both the mix to cloud as well as the R&D expense has increased, just given the large opportunities that we have across data center and especially AI.
Yeah, hey guys. Thank you for squeezing me in. Lisa, I had a question. I want to do ask you about your views on the infrancing market for generative AI 3+. Specifically, I wanted to ask because I think there's some cross-currents going on. We're hearing that CPUs are the best way to do infrancing, but then we're hearing that time-line sub-CPUs is not there as a function to be able to enable these kind of instances. So I was curious what do you guys think and then I had to follow up.
Well, I think Harsh, if you were saying, I mean, I think today inferences used a lot. CPUs are used a lot for inference. Now, where the demand is highest right now is for generative AI and large language models, inferencing. You need GPUs to have the horsepower to train sort of the most sophisticated models. So I think those are the two, as you say, cross-currents. I think inference becomes a much more important workload, just given the adoption rate of AI across the board. And I think we'll see that for smaller tasks on CPUs, which for the larger tasks on GPUs.
Okay, so it's still the first back to GPUs for those. And then similar question on the MI300 series. I know that you talked a lot about success in the HPC side, but specifically, I was curious if you could talk about any wins or any kind of successes or success stories you might have on the generative AI side with the MI300 or 250 series.
Yeah, so as we said earlier, we've done some really good work on MI250 with AI and large language models. The example that is public is what we've done with Lumi and the training of some of the finish models. We're doing quite a bit of work with large customers on MI300. And what we're seeing is very positive results. So we think MI300 is very competitive for generative AI. And we'll be talking more about sort of that customer and revenue evolution as we go over the next couple of quarters.
Thank you, Nisha. Great operator. That concludes today's call. Thank you to everyone for joining us. Nisha, thank you. You may now disconnect and have a wonderful day.