Latest Transcript
AMD Fiscal Fourth Quarter and Full Year 2025 Financial Results
OPERATOR: Greetings and welcome to the AMD fourth quarter and full year 2025 conference call. At this time, all participants
require operator assistance during the conference, please press star 0 on your telephone keypad. And please
note that this conference is being recorded. I will now turn the conference over to Matt Ramsay, VP, Financial
Strategy and IR. Thank you. You may begin.
MATT RAMSAY: Thank you. And welcome to AMD's fourth quarter and 2025 full year financial results conference call. By now
should have had the opportunity to review a copy of our earnings press release and accompanying slides. If you
have not had the opportunity to review these materials, they can be found on the Investor Relations page of
amd.com. Today we will refer primarily to non-GAAP financial measures on the call. The full non-GAAP to GAAP
reconciliations are available in today's press release and in the slides posted on our website.
Participants in today's conference call are Dr. Lisa Su, our chair and CEO, and Jean Hu, our executive vice
president, CFO, and treasurer. This is a live call and will be replayed via webcast on our website. Before we
begin, I would like to note that Mark Papermaster, Executive Vice President and CTO, will present at Morgan
Today's discussions contain forward-looking statements based on our 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. With that, I will hand the call
to Lisa.
LISA SU: Thank you, Matt, and good afternoon to all those listening today. 2025 was a defining year for AMD, with record
revenue, net income, and free cash flow driven by broad-based demand for our high-performance computing and
AI products. We ended the year with significant momentum with every part of our business performing very well.
We saw demand accelerate across the data center, PC, gaming, and embedded markets, launched the broadest
set of products in our history, gained significant server and PC processor share, and rapidly scaled our data
center AI business as Instinct and ROCm adoption increased with cloud, enterprise, and AI customers.
Looking at our fourth quarter. Fourth quarter revenue grew 34% year over year to $10.3 billion, led by record
EPYC, Ryzen and Instinct processor sales. Net income increased 42% to a record $2.5 billion, and free cash flow
nearly doubled year over year to a record $2.1 billion. For the full year, revenue grew 34% to $34.6 billion, and
we added more than $7.6 billion of data center segment and client revenue.
Turning to our fourth quarter segment results. Data center segment revenue increased 39% year over year to a
record $5.4 billion, led by accelerating Instinct, MI350 series GPU deployments, and server share gains. In server,
adoption of fifth Gen EPYC turn CPUs accelerated in the quarter, accounting for more than half of the total server
revenue. Fourth Gen EPYC sales were also robust, as our prior generation CPUs continued to deliver superior
performance and TCO compared to competitive offerings across a wide range of workloads. As a result, we had
record server CPU sales to both cloud and enterprise customers in the quarter and exited the year with record
share.
In cloud, hyperscaler demand was very strong as North American customers expanded deployments. EPYC-
powered public cloud offerings grew significantly in the quarter with AWS, Google, and others launching more
than 230 new AMD instances. Hyperscalers launched more than 500 AMD-based instances in 2025, increasing
the number of EPYC cloud instances more than 50% year over year to nearly 1,600. In the enterprise, we are
seeing a meaningful shift in EPYC adoption driven by our leadership performance, expanded platform availability,
broad software enablement, and increased go to market programs.
The leading server providers now offer more than 3,000 solutions, powered by fourth and fifth Gen EPYC CPUs
that are optimized for all major enterprise workloads. As a result, the number of large businesses deploying EPYC
on prem more than doubled in 2025, and we exited the year with record server sell through. Looking ahead,
server CPU demand remains very strong. Hyperscalers are expanding their infrastructure to meet growing
demand for cloud services in AI, while enterprises are modernizing their data centers to ensure they have the
right compute required to enable new AI workflows.
Against this backdrop, EPYC has become the processor of choice for the modern data center, delivering
leadership, performance, efficiency, and TCO. Our next generation Venice CPU extends our leadership across
each of these metrics. Customer pull for Venice is very high, with engagements underway to support large scale
cloud deployments and broad OEM platform availability. When Venice launches later this year.
Turning to our data center AI business, we delivered record Instinct GPU revenue in the fourth quarter, led by the
ramp of MI350 series shipments. We also had some revenue from MI308 sales to customers in China. Instinct
adoption broadened in the quarter. Today, eight of the top 10 AI companies use Instinct to power production
workloads across a growing range of use cases. With the MI350 series, we are entering the next phase of Instinct
adoption, expanding our footprint with existing partners and adding new customers.
In the fourth quarter, hyperscalers expanded MI350 series availability. Leading AI companies scaled their
deployments to support additional workloads, and multiple neo cloud providers launched MI350 series offerings
that deliver on-demand access to Instinct infrastructure in the cloud. Turning to our AI software stack, we
expanded the ROCm ecosystem in the fourth quarter, enabling customers to deploy Instinct faster and with
higher performance across a broader range of workloads. Millions of large language and multimodal models run
out of the box on AMD, with the leading models launching with day 0 support for Instinct GPUs. This capability
highlights our rapidly expanding open source community enablement, including new upstream integration of
AMD GPUs in vLLM, one of the most widely used inference engines.
To drive Instinct adoption with industry-specific use cases, we're also adding support for domain specific models
in key verticals. As one example, in healthcare, we added ROCm support for the leading medical imaging
framework to enable developers to train and deploy highly performant deep learning models on Instinct GPUs.
For large businesses, we introduced our enterprise AI suite, a full stack software platform with enterprise grade
tools, inference microservices, and solutions blueprints designed to simplify and accelerate production
deployments at scale. We also announced a strategic partnership with Tata Consultancy Services to co-develop
industry-specific AI solutions and help customers deploy AI across their operations. Looking ahead, customer
engagements for our next Gen MI400 series and Helios platform continue expanding.
In addition to our multi-generation partnership with OpenAI to deploy 6 gigawatts of Instinct GPUs, we are in
active discussions with other customers on at scale multi-year deployments, starting with Helios and MI450 later
this year. With the MI400 series, we are also expanding our portfolio to address the full range of cloud, HPC and
enterprise AI workloads. This includes MI455X and Helios for AI superclusters, MI430X for HPC and sovereign AI,
and MI440X servers for enterprise customers requiring leadership training and inference performance in a
compact eight GPU solution that integrates easily into existing infrastructure.
Multiple OEMs publicly announced plans to launch Helios systems in 2026, with deep engineering engagement
underway to support smooth production ramps. In December, HPE announced that they will offer Helios racks
with purpose-built HPE Juniper ethernet switches and optimized software for high bandwidth scale up networking.
And in January, Lenovo announced plans to offer Helios racks. MI430X adoption also grew in the quarter, with new
exascale-class supercomputers announced by GENCI in France and HLRS in Germany.
Looking further ahead, development of our next generation MI500 series is well underway. MI500 is powered by
our CDNA 6 architecture, built on advanced 2 nanometer process technology, and features high speed HBM4E
memory. We are on track to launch MI500 in 2027, and expect MI500 to deliver another major leap in AI
performance to power the next wave of large scale multimodal models.
In summary, our AI business is accelerating with the launch of MI400 series and Helios representing a major
inflection point for the business as we deliver leadership, performance and TCO at the chip, compute tray, and
rack level. Based on the strength of our EPYC and Instinct roadmaps, we are well-positioned to grow data center
segment revenue by more than 60% annually over the next three to five years, and scale our AI business to tens
of billions in annual revenue in 2027.
Turning to client and gaming. Segment revenue increased 37% year over year to $3.9 billion. In client, our PC
processor business performed exceptionally well. Revenue increased 34% year over year to a record $3.1 billion,
driven by increased demand for multiple generations of Ryzen desktop and mobile CPUs. Desktop CPU sales set
a record for the fourth consecutive quarter. Ryzen CPUs topped the best seller lists at major global retailers and
e-tailers throughout the holiday period, with strong demand across all price points in every region, driving record
desktop channel sellout.
In mobile, strong demand for AMD-powered notebooks drove record Ryzen PC sell-through in the quarter. That
momentum extended into commercial PCs, where Ryzen adoption accelerated as we established a new long-term
growth engine for our client business. Sell-through of Ryzen CPUs for commercial notebooks and desktops grew
by more than 40% year over year in the fourth quarter, and we closed large wins with major telecom, financial
services, aerospace, automotive, energy and technology customers.
At CES, we expanded our Ryzen portfolio with CPUs that further extend our performance leadership. Our new
Ryzen AI 400 mobile processors deliver significantly faster content creation and multitasking performance than
the competition. Notebooks powered by Ryzen AI 400 are already available, with the broadest lineup of AMD-
based consumer and commercial AI PCs set to launch throughout the year. We also introduced our Ryzen AI halo
platform, the world's smallest AI development system featuring our highest end Ryzen AI Max processor, with
128 gigabytes of unified memory that can run models with up to 200 billion parameters locally.
In gaming, revenue increased 50% year over year to 843 million. Semi-custom sales increased year over year
and declined sequentially as expected. For 2026, we expect semi-custom SoC annual revenue to decline by a
significant double-digit percentage as we enter the seventh year of what has been a very strong console cycle.
From a product standpoint, Valve is on track to begin shipping its AMD-powered Steam Machine early this year,
and development of Microsoft's next Gen Xbox, featuring an AMD semi-custom SoC is progressing well to support
a launch in 2027.
Gaming GPU revenue also increased year over year, with higher channel sellout driven by demand throughout
the holiday sales period for our latest generation Radeon RX 9,000 series GPUs. We also launched FSR for
redstone in the quarter, our most advanced AI-powered upscaling technology, delivering higher image quality
and smoother frame rates for gamers. Turning to our embedded segment, revenue increased 3% year over year
to 950 million, led by strength with test in measurement and aerospace customers, and growing adoption of our
embedded x86 CPUs.
Channel sell-through accelerated in the quarter as end customer demand improved across several end markets,
led by test, measurement, and emulation. Design win momentum remains one of the clearest indicators of long-
term growth for our embedded business, and we delivered another record year. We closed $17 billion in design
wins in 2025, up nearly 20% year over year, as we've now won more than $50 billion of embedded designs since
acquiring Xilinx.
We also strengthened our embedded portfolio in the quarter. We began production of our Versal AI Edge Gen 2
SoCs for low latency inference workloads and started shipping our highest end Spartan UltraScale+ devices for
cost-optimized application. We also launched new embedded CPUs, including our EPYC 2005 series for network
security and industrial edge applications, Ryzen P100 series for in-vehicle infotainment and industrial systems,
and Ryzen X100 series for physical AI and autonomous platforms.
In summary, 2025 was an excellent year for AMD, marking the start of a new growth trajectory for the company.
We are entering a multiyear demand supercycle for high performance in AI computing that is creating significant
growth opportunities across each of our businesses. AMD is well-positioned to capture that growth with highly
differentiated products, a proven execution engine, deep customer partnerships, and significant operational
scale. And as AI reshapes the compute landscape, we have the breadth of solutions and partnerships required for
end-to-end leadership. From Helios in the cloud, for at scale training and inference, to an expanded Instinct
portfolio for sovereign supercomputing and enterprise AI deployment.
At the same time, demand for EPYC CPUs is surging as agentic and emerging AI workloads require high-
performance CPUs to power head nodes and run parallel tasks alongside GPUs. And at the Edge NPCs where AI
adoption is just beginning, our industry leading Ryzen and embedded processors are powering real-time on-
device AI. As a result, we expect significant top line and bottom line growth in 2026, led by increased adoption of
EPYC and Instinct, continued client share gains and a return to growth in our embedded segment.
Looking further ahead, we see a clear path to achieve the ambitious targets we laid out at our financial analyst
day last November, including growing revenue at greater than 35% CAGR over the next three to five years,
significantly expanding operating margins, and generating annual EPS of more than $20 in the strategic time
frame, driven by growth in all of our segments and the rapid scaling of our data center AI business. Now, I'll turn
the call over to Jean to provide additional color on our fourth quarter results and full year results. Jean.
JEAN HU: Thank you, Lisa. And good afternoon, everyone. I'll start with a review of our financial results and then provide
our current outlook for the first quarter of fiscal 2026. AMD executed very well in 2025, delivering record revenue
of $34.6 billion, up 34% year over year, driven by 32% growth in our data center segment and 51% growth in our
client and gaming segment. Gross margin was 52%, and we delivered record earnings per share of $4.17, up
26% year over year, while continuing to invest aggressively in AI and the data center to support our long-term
growth.
For the fourth quarter of 2025, revenue was a record $10.3 billion, growing 34% year over year, driven by strong
growth in the data center, and client gaming segments, including approximately $390 million in revenue from
MI308 sales to China, which was not included in our fourth quarter guidance. Revenue was up 11% sequentially,
primarily driven by continued strong growth in data center from both server and data center AI businesses, as
well as the return to year over year growth in embedded segment.
Gross margin was 57%, up 290 basis points year over year. We benefited from the release of $360 million in
previously written down MI308 inventory reserves. Excluding the inventory reserve release and the MI308
revenue from China, gross margin would have been approximately 55%, up 80 basis points year over year,
driven by favorable product mix.
Operating expenses were $3 billion, an increase of 42% year over year. As we continue to invest in R&D go-to-
market activities to support our AI roadmap and long-term growth opportunities, as well as the higher employee
performance-based incentives. Operating income was a record $2.9 billion, representing a 28% operating
margin. Tax, interest and other resulting in a net expense of approximately $335 million. For the fourth quarter,
diluted earnings per share was a record $1.53, an increase of 40% year over year, reflecting strong execution
and operating leverage in our business model.
Now, turning to our reportable segment, starting with data center segment. Revenue was a record $5.4 billion,
up 39% year over year and 24% sequentially, driven by strong demand for EPYC processors and the continued
ramp of MI350 products. Data center segment operating income was $1.8 billion, or 33% of revenue, compared
to $1.2 billion, or 30% a year ago, reflecting higher revenue and the inventory reserve release, partially offset by
continued investment to support our AI hardware and software roadmaps.
Client gaming segment revenue was $3.9 billion, up 37% year over year, driven primarily by strong demand for
our leadership AMD Ryzen processors. On a sequential basis, revenue was down 3% due to lower semi-customer
revenue. The client business revenue was a record $3.1 billion, up 34% year over year and 13% sequentially, led
by strong demand from both the channel and the PC OEMs, and the continued market share.
The gaming business revenue was $843 million, up 50% year over year, primarily driven by higher semi-
customer revenue and strong demand for AMD Radeon GPUs. Sequentially, gaming revenue was down 35% due
to lower semi-customer sales. Client gaming segment operating income was $725 million, or 18% of revenue,
compared to $496 million, or 17% a year ago. Embedded segment revenue was $950 million, up 3% year over
year and 11% sequentially as demand strengthened across several end markets. Embedded segment operating
income was $357 million, or 38% of revenue, compared to $362 million, or 39% a year ago.
Before I review the balance sheet and cash flow, as a reminder, we closed the sale of ZT system manufacturing
business to Sanmina in late October. The fourth quarter financial results of the ZT manufacturing business are
reported separately in our financial statements as discontinued operations, and are excluded from our non-GAAP
financials.
Turning to the balance sheet and the cash flow. During the quarter, we generated a record $2.3 billion in cash
from continuing operations, and a record of $2.1 billion in free cash flow. Inventory increased sequentially by
approximately $607 million to 7.9 billion to support strong data center demand. At the end of the quarter, cash,
cash equivalents, and short-term investments were $10.6 billion. For the year, we repurchased $12.4 million
shares and returned $1.3 billion to shareholders. We ended the year with $9.4 billion authorization remaining
under our share repurchase program.
Now turning to our first quarter 2026 outlook. We expect revenue to be approximately $9.8 billion, plus or minus
$300 million, including approximately $100 million of MI308 sales to China. At the midpoint of our guidance,
revenue is expected to be up 32% year over year, driven by strong growth in our data center and client and
gaming segments, and modest growth in our embedded segment.
Sequentially, we expect revenue to be down approximately 5% driven by seasonal decline in our client gaming
and embedded segment, partially offset by growth in our data center segment. In addition, we expect fourth
quarter non-GAAP gross margin to be approximately 55%, non-GAAP operating expenses to be approximately
$3.05 billion, non-GAAP other net income to be approximately $35 million, non-GAAP effective tax rate to be
13%, and diluted share count is expected to be approximately 1.65 billion shares.
In closing, 2025 was an outstanding year for AMD, reflecting disciplined execution across the business to deliver
strong revenue growth, increased profitability and cash generation, while investing aggressively in AI and
innovation to support our long-term growth strategy. Looking ahead, we are very well positioned for continued
strong top line revenue growth and earnings expansion in 2026, with the focus on driving data center AI growth,
please press star 1 on your telephone keypad. A confirmation tone will indicate that your line is in the queue. You
may press star 2 to remove yourself from the queue. For participants using speaker equipment, it may be
necessary to pick up your handset before pressing the star keys. One moment please while we poll for questions.
And the first question comes from the line of Aaron Rakers with Wells Fargo. Please proceed with your question.
AARON Yeah, thanks for taking the question. Lisa, at your analyst day back in November, you seemed to endorse the
RAKERS: high $20 billion AI revenue expectation that was out there on the street for 2027. I know today you're reaffirming
the path to strong double-digit growth. So I guess my question is, can you talk a little bit about what you've seen
as far as customer engagements, how those might have expanded? I think you've alluded to it in the past,
multiple multi gigawatt opportunities. Just double click on what you've seen from the MI455 and Helios platform
from a demand perspective as we look into the back half of the year.
LISA SU: Yeah, sure Aaron, thanks for the question. So first of all, I think the MI450 series development is going extremely
well. So we're very happy with the progress that we have. We're right on track for a second half launch and
beginning of production. And as it relates to the shape of the ramp and the customer engagement, I would say
the customer engagements continue to proceed very well.
We have obviously a very strong relationship with OpenAI, and we're planning that ramp starting in the second
half of the year, going into 2027 that is on track. We're also working closely with a number of other customers
who are very interested in ramping MI450 quickly, just given the strength of the product. And we see that across
both inference and training. And that is the opportunity that we see in front of us. So we feel very good about the
data center growth overall for us in 2026, and then certainly going into 2027. We've talked about tens of billions
of dollars of data center AI revenue, and we feel very good about that.
OPERATOR: Thank you. The next question comes from the line of Tim Arcuri with UBS. Please proceed with your question.
TIM ARCURI: Thanks a lot. Jean, I'm wondering if you can maybe give us a little bit of detail under the hood for the March
guidance. I know you basically told us about what? Embedded is going to be up a bit year over year, clients
sounds like it's down seasonally, which I take to be maybe down 10. So can you give us a sense maybe of the
other pieces. And then also, can you give us a sense of how data center GPU is going to ramp through the year. I
know it's a back half loaded year, but I think people are thinking, Lisa, somewhere in the $14 billion range this
year, that's what investors are thinking. I'm not asking you to endorse that, but if you can give us a little flavor
for how the ramp will look to the year, that'd be great. Thanks.
JEAN HU: Hi, Tim, thanks for your question. We're guiding one quarter time, but I can give you some color about our Q1
guide. First, it's right, sequentially, we guided the decline around 5%, but data center is actually going to be up.
And when you think about it, it's right, our CPU business in a regular seasonal pattern, it's going to be down high
single digit, and in our current guide we actually guide CPU revenue up sequentially very nicely. Also, with the
data center GPU side, we also feel really good about GPU revenue including China will be also up. So very nice
guide for the data center overall. On the client side, we do see seasonality sequentially decline. Embedded and
gaming, they also have a seasonal decline.
LISA SU: Maybe Tim, if I just give you a little bit on the full year commentary, I think the important thing as we look at the
full year, we're very bullish on the year. If you look at the key themes, we're seeing very strong growth in the
data center, and that's across two growth vectors. We see server CPU growth actually very strong. I mean, we've
talked about the fact that CPUs are very important as AI continues to ramp. And we've seen the CPU order book
continue to strengthen as we go through the last few quarters and especially over the last 60 days. So we see
that as a strong growth driver for us.
As Jean said, we see server CPU growing from Q4 into Q1 in what normally is seasonally down, and that
continues throughout the year. And then on the data center AI side, it's a very important year for us. It's really an
inflection point. MI355 has done well, and we were pleased with the performance in Q4. And we continue to ramp
that in the first half of the year. But as we get into the second half of the year, the MI450 is really a inflection
point for us. So that revenue will start in the third quarter, but it will ramp significant volume in the fourth quarter
as we get into 2027. So that gives you a little bit of what the data center ramp looks like throughout the year.
TIM ARCURI: Thank you, Lisa.
OPERATOR: And the next question comes from the line of Vivek Arya with Bank of America. Please proceed.
VIVEK ARYA: Thank you. First, just a clarification on what you're assuming for your China, MI308 sales beyond Q1. And then
Lisa, specific to 2026, can your data center revenues grow at your target 60% plus growth rate? I realize that
that's a multiyear target, but do you think that there are enough drivers, whether it's on the server, CPU side or
GPU side, for you to grow at that target pace even in 2026? Thank you.
LISA SU: Yeah, sure Vivek. So let me talk a little bit about China first, because that's I think, important for us to make sure
that's clear. Look, we were pleased to have some MI308 sales in the fourth quarter. They were actually licensed
that was approved through work with the administration. And those orders were actually from very early in 2025.
And so we saw some revenue in Q4, and we're forecasting for about $100 million of revenue in Q1. We are not
forecasting any additional revenue from China just because it's a very dynamic situation. So given that it's a
dynamic situation, we're still waiting for-- we've submitted licenses for the MI325, and we're continuing to work
with customers and understanding of their customer demand. We thought it prudent not to forecast any
additional revenue other than the $100 million that we called out in the Q1 guide.
Now, as it relates to overall data center, as I mentioned in the question to Tim, we're very bullish about data
center. I think the combination of drivers that we have across our CPU franchise, I mean, the EPYC product line,
both Turin and Genoa continue to ramp well, and in the second half of the year, we will be launching Venice,
which we believe actually extends our leadership, and the MI450 ramp, which is also very significant in the
second half of 2026. We're not obviously guiding specifically by segment, but the long-term target of let's call it
greater than 60% is certainly possible in 2026.
VIVEK ARYA: Thank you, Lisa.
OPERATOR: Thank you. And as a reminder, if you would like to ask a question, please press star 1. We ask that you limit
yourself to one question and one follow up. Thank you. The next question comes from the line of CJ Muse with
CJ MUSE: Yeah, good afternoon. Thanks for taking the question. Curious on the server CPU side of the house. And given the
dramatic tightness, curious, your ability to source incremental capacity from TSMC and elsewhere, and I guess,
how long will it take for that to see wafers out. And how should we think about the implications for the growth
trajectory throughout all of calendar 26? And I guess as part of that, if you could speak to how we should be
thinking about inflation and pricing as well, that would be very helpful.
LISA SU: Sure CJ. So a couple of points about the server CPU market. First of all, we think the overall server CPU TAM is
going to grow, let's call it strong double digits in 2026, just given as we said, the relationship between CPU
demand and overall AI ramp, so I think that's a positive. Relative to our ability to support that, we've been seeing
this trend for the last couple of quarters, so we have increased our supply capacity capability for server CPUs.
And that's one of the reasons we're able to increase our Q1 guide as it relates to the server business. And we see
the ability to continue to grow that throughout the year. There's no question that demand continues to be strong,
and so we're working with our supply chain partners to increase supply as well. But from what we see today, I
think the overall server situation is strong and we are increasing supply to address that.
MATT RAMSAY: Hey CJ, do you have a follow up question?
CJ MUSE: I do. Maybe for Jean, if you could touch on gross margins through the year and as you balance strengthening
server CPU with perhaps greater GPU acceleration in the second half, is there kind of a framework that we should
be working off of? Thanks so much.
JEAN HU: Yeah, thank you for the question. We are very pleased with our gross margin Q4 performance, and the Q1 guide
at 55%, which actually is 130 basis point up year over year, while we continue to ramp our MI355 year over year
very significantly. I think we are benefiting from a very favorable product mix across all our business. If you think
about in data center, we're ramping our new generation product Turin and MI355, which helps gross margin in
client. We continue to move up the stack and also gaining momentum in our commercial business.
Our client business gross margin has been improving nicely. In addition, certainly we see the recovery of our
embedded business, which is also margin accretive. So all those tailwinds we are seeing, we continue to see in
the next few quarters. And the MI450 ramp, of course, in Q4, our gross margin will be driven largely by mix. And
I think we'll give you more color when we get there. But overall, we feel really good about our gross margin
progression this year.
OPERATOR: Thank you. The next question comes from the line of Joe Moore with Morgan Stanley. Please proceed.
JOE MOORE: Great. Thank you. On the MI455 ramp, will 100% of the business be racks or will there be kind of an 8-way server
business around that architecture? And then is there revenue recognition when you ship to the rack vendor or is
there something to understand about that? Thank you.
LISA SU: Yes, Joe. So we do have multiple variants of the MI450 series, including an 8-way GPU form factor. But for 2026, I
would say the vast majority of it is going to be rack scale solutions. And yes, we will take revenue when we ship
to the rack builder.
JOE MOORE: OK, great. And then can you talk to any risks that you may have in terms of once you get silicon out, turning that
into racks, any potential issues as you ramp that? I know your competitor had some last year and you said you
learned from that. Is there anything you've done with pre-building racks to ensure you won't have those issues?
Just any risks that we need to understand around that.
LISA SU: Yeah, I mean, I think the main thing is the development is going really well. We're right on track with MI450
series as well as the Helios rack development. We've done a lot of testing already, both at the rack scale level, as
well as at the silicon level. So far, so good. We are getting let's call it, a lot of input from our customers on things
to test so that we can do a lot of testing in parallel. And our expectation is that we will be on track for our second
half launch.
OPERATOR: Thank you. Our next question comes from the line of Stacy Rasgon with Bernstein Research. Please proceed.
STACY Hi, guys. Thanks for taking my questions. First one, Lisa, I just wanted to ask you about OpEx. Every quarter you
RASGON: guys are guiding it up and then it's coming in even higher, and then you're guiding it up again. And I understand,
given the growth trajectory, that you need to invest, but how should we think about the ramp of that OpEx and
that spending number, especially as the GPU revenue starts to inflect, or do we get leverage on that, or should
we be expecting OpEx to be growing even more materially as the AI revenue starts to ramp?
LISA SU: Yeah, sure. Stacy, thanks for the question. Look, I think in terms of OpEx, we're at a point where we have very
high conviction in the roadmap that we have. And so in 2025, as the revenue increased we did lean in on OpEx,
and I think it was for all the right reasons. As we get into 2026 and as we see some of the significant growth that
we're expecting, we should absolutely see leverage. And the way to think about it is, we've always said in our
long-term model that OpEx should grow slower than revenue. And we would expect that in 2026 as well,
especially as we get into the second half of the year and we see inflection in the revenue. But at this point, I
think, if you look at our free cash flow generation and the overall revenue growth, I think the investment in OpEx
is absolutely the right thing to do.
STACY Thank you. For my follow up, I actually have two one-line answers I'm looking for. Just first, the $100 million in
RASGON: China revenue in Q1, does that also drop through at 0 cost basis like we had in Q4, and is that a margin
headwind? And number two, I know you don't give us the AI number, but could you just give us the annual 2025
Instinct number now that we're through the year, how big was it?
JEAN HU: So, Stacy, let me answer your first question on the $100 million revenue in Q1. Actually, the inventory reserve
reversed in Q4, which was $360 million, not only associated with Q4 revenue, China revenue, but also covers the
$100 million revenue we expect to ship in Q1 to China with our MI308. So the Q1 gross margin guide is a very
clean guide.
LISA SU: And Stacy, for your second question, as you know, we don't guide at the business level, but to help you with your
models, I think if you look at the Q4 data center AI number, even if you were to back out the China number, which
was, let's call it, not a recurring number, you would still see growth. You'll see growth from Q3 to Q4. So that
should help you a little bit with your modeling.
OPERATOR: Thank you. And the next question comes from the line of Joshua Buchalter with TD Cowen. Please proceed.
JOSHUA Hey, guys, thanks for taking my question. I wanted to ask about clients. So the segment beat pretty handily in
BUCHALTER: the fourth quarter. I recognize you guys have been gaining share with Ryzen, but I think given what we've been
seeing in the memory market, there's a lot of concern about inflationary costs and the potential for pull ins. Were
there any changes in your order patterns during the quarter, and maybe bigger picture, how are you thinking
about client growth and the health of that market into 2026?
LISA SU: Yeah. Thanks for the question, Josh. The client market has performed extremely well for us throughout 2025,
very strong growth for us, both in terms of ASP mixing up the stack as well as just unit growth. Going into 2026,
we are certainly watching the development of the business. I think the PC market is an important market. Based
on everything that we see today, we're probably seeing the PC TAM down a bit, just given some of the
inflationary pressures of the commodities pricing, including memory. The way we are modeling the year is, let's
call it, second half a bit subseasonal to first half, just given everything that we see. Even in that environment with
the PC market down, we believe we can grow our PC business. And our focus areas are enterprise, that's a place
where we're making very nice progress in 2025, and we expect that into 2026, and just continuing to grow at the
premium higher end of the market.
JOSHUA Thank you for the color there. And then I want to ask about the Instinct family. So we've seen your big GPU
BUCHALTER: competitor make a deal with an SRAM-based spatial architecture provider. And then OpenAI is reportedly been
linked to one as well. Could you speak to the competitive implications of that? You've done well in inferencing, I
think, partly because of your leadership in HBM content. So I was wondering if you could maybe address the poll
seemingly motivated by lower latency inference and how Instinct is positioned to service this if you're indeed
seeing it as well. Thank you.
LISA SU: Yeah. I think, Josh, it's really, I think the evolution that you might expect as the AI market matures, what we're
seeing is as inference ramps, really the tokens per dollar or the efficiency of the inference stack becomes more
and more important. As you know, with our chiplet architecture, we have a lot of ability to optimize across
inference training and even across the different stages of inference as well.
So I think I view this as very much as you go into the future, you'll see more workload-optimized products. And
you can do that with GPUs, as well as with other more ASIC-like architectures. I think we have the full compute
stack to do all of those things. And from that standpoint, we're going to continue to lean into inference as we view
that as a significant opportunity for us in addition to ramping our training capabilities.
OPERATOR: Thank you. And the next question comes from the line of Ben Reitzes with Melius Research. Please proceed.
BEN REITZES: Yeah. Hey. Thanks. I appreciate it. Hey, Lisa, I wanted to ask you about OpenAI. I'm sure a lot of the volatility out
there is not lost on you. Is everything on track for the second half for starting the 6 gigawatts and the 3 and 1/2
year timeline as far as you know? And is there any other color that you'd just like to give on that relationship?
LISA SU: Yeah. I mean, I think, Ben, what I would say is, we're very, very much working in partnership with OpenAI as well
as our CSP partners, to deliver on MI450 series and deliver on the ramp. The ramp is on schedule to start in the
second half of the year. MI450 is doing great. Helios is doing well. We are in, let's call it, deep co-development
across all of those parties. And as we look forward, I think we are optimistic about the MI450 ramp for OpenAI.
But I also want to remind everyone that we have a broad set of customers that are very excited about MI450
series. And so in addition to the work that we're doing with OpenAI, there are a number of customers that we're
working to ramp in that time frame as well.
BEN REITZES: All right, I appreciate that. And I wanted to shift to the server CPU and just talk about x86 versus ARM. There's
some view out there that x86 has a particular edge in agents, big picture, do you agree with that? And what are
you seeing from customers? And in particular, obviously your big competitor is going to be selling an ARM CPU
separately now in the second half. So if there's just anything on that competitive dynamic versus ARM and what
NVIDIA is doing and your views on that, that'd be great to hear. Thanks.
LISA SU: Yeah. Ben, what I would say about the CPU market is there is a great need for high-performance CPUs right now.
And that goes towards agentic workloads where when you have these AI processes or AI agents that are spinning
off a lot of work in an enterprise, they're actually going to a lot of traditional CPU tasks, and the vast majority of
them are on x86 today. I think the beauty of EPYC is that we've done workload optimization, so we have the best
cloud processor out there. We have the best enterprise processor. We also have some lower cost variants for
storage and other elements.
And I think all of that comes into play as we think about the entirety of the AI infrastructure that needs to be put
in place. I think the CPUs are going to continue to be as important as a piece of the AI infrastructure ramp. And
that's one of the things that we mentioned at our analyst day back in November, really this multiyear CPU cycle,
and we continue to see that. I think we've optimized EPYC to satisfy all of those workloads, and we're going to
continue to work with our customers to expand our EPYC footprint.
OPERATOR: And the next question comes from the line of Tom O'Malley with Barclays. Please proceed.
TOM O'MALLEY:Hey, Lisa. How are you? I just wanted to ask, you mentioned on memory earlier as a sticking point in terms of
inflationary cost. Different customers do this in different ways. Different suppliers do this in different ways. But
can you maybe talk about your procurement of memory, when that takes place, particularly on the HBM side? Is
that something that gets done a year in advance, six months in advance? Different accelerator guys have talked
about different timelines, would be curious to hear when you do the procurement?
LISA SU: Yeah, I mean given the lead times for things like HBM and wafers and these parts of the supply chain, I mean,
we're working closely with our suppliers over a multiyear time frame. In terms of what we see in demand, how we
ramp, how we ensure that our development is very closely tied together. So I feel very good about our supply
chain capabilities. We have been planning for this ramp. So independent of the current market conditions, we've
been planning for a significant ramp in both CPU as well as our GPU business over the past couple of years. And
so from that standpoint, I think we're well-positioned to grow substantially in 2026. And now we're also doing
multiyear agreements that extend beyond that, given the tightness of the supply chain.
TOM O'MALLEY:Thanks. And just as a follow-up, you've seen a variety of different things in the industry in terms of system
accelerator. So KB cash offload, more discrete ASIC style compute CPX, if you look at what your competitors are
doing and you look at your first generation of system architecture coming out, maybe spend some time on, do
you see yourself following in the footsteps of some of these different type of architectural changes? Do you think
that you'll go in a different direction? Anything just on the evolution of your system-based architecture, and then
the adjoining products and/or silicon within. Thank you.
LISA SU: I think, Tom, what we have is the ability with a very flexible architecture with our chiplet architecture, and then
we also have a flexible platform architecture that allows us to really have different system solutions for the
different requirements. I think we're very cognizant that there will be different solutions. So, I've often said
there's no one size fits all, and I'll say that again, there's no one size fits all. But that being the case, it's clear
that the rack scale architecture is very, very good for the highest end applications when you're talking about
distributed inference and training. But we also see a opportunity with enterprise AI to use some of these other
form factors, and so we're investing across that spectrum.
OPERATOR: And the next question comes from the line of Ross Seymore with Deutsche Bank. Please proceed.
ROSS Hi, thanks for letting me ask a couple questions. I guess my first question is back on the gross margin side of
SEYMORE: things. As you go from the MI300 to the 400 to the 500 eventually, do you see any changes in gross margin
throughout that period? In the past, you've talked about optimizing dollars more so than percentages, but just on
the percentage side, does it go up, down, or is there volatility as you go from one to the next for any reason? Just
wondered on the trajectory there.
JEAN HU: Ross, thank you for the question. At a very high level, each generation, we actually provide much more
capabilities, more memory, and help our customer more. So in general, the gross margin should progress each
generation when you offer more capabilities to your customers. But typically, when you first ramp at the
beginning of ramp of generation, it tends to be lower. When you get to the scale, get to the yield improvement,
the test improvement, and also overall performance improvement, then you will see gross margin improving
within each generation. So it's kind of a dynamic gross margin, but in the longer term you should expect each
generation should have a higher gross margin.
ROSS Thanks for that Jean. And then one small segment of your business, but it seems quite volatile, and you talked a
SEYMORE: little bit about further off than you usually do, is the gaming side of things. What is the magnitude down you're
talking about this year? Because in 2025, you thought it was going to be flat and it ended up growing 50%, which
was a nice positive surprise. But now that you're talking about this year being down, but then the next-gen Xbox
ramping in 2027, I just hope to get some color on what you see as the annual trajectory there.
JEAN HU: Yeah. So Lisa can add them all. So 2026, actually, it's the seventh year of our current product cycle. Typically
when you're at this stage of the cycle, revenue tend to come down. We do expect the revenue on the semi-
customer revenue side to come down significant double-digit for 2026, as Lisa mentioned in her prepared
remarks for the next generation.
LISA SU: Yeah, I think, we'll certainly talk about that going forward. But as we ramp the new generation, you would expect
a reversal of that.
MATT RAMSAY: Operator, I think we have time for one more caller on the call, please. Thank you.
OPERATOR: And our final question comes from the line of Jim Schneider with Goldman Sachs. Please proceed.
JIM SCHNEIDER:Good afternoon. Thanks for taking my question. Relative to the ramp of your rack-level systems, would you
expect any kind of bottleneck in terms of supply constraints, in terms of the ramp as you ramp the second half of
the year to potentially impact or limit the revenue growth? In other words, maybe talk about whether you expect
supply to really mute the growth in Q4 sequentially relative to-- sorry, Q3 relative to Q4.
LISA SU: Yeah, Jim, we are planning this at every component level. So I think relative to our data center AI ramp, I do not
believe that we will be supply limited in terms of the ramp that we put in place. I think we have an aggressive
ramp. I think it's a very doable ramp. And as we think about the size and scale of AMD, clearly our priority is
ensuring that the data center ramps go very well. And that's both on the data center AI, the GPU side, as well as
on the CPU side.
JIM SCHNEIDER:Thank you. And then maybe as a follow up to the earlier question on OpEx, could you maybe address what are
some of the largest investment areas you made in 2025, and then what are the largest incremental OpEx
investment areas for 26? Thank you.
JEAN HU: Yeah, Jim. On the 2025 investment, the priority and the investment, the largest investment in data center AI, our
hardware roadmap. We accelerated that roadmap, we expand our software capabilities. We also acquired ZT
Systems, which add a significant system level solutions and capabilities. Those are the primary investment in
2025. We also invested heavily in go-to-market to really expand our go-to-market capabilities, to support the
revenue growth and also expand our commercial business and the enterprise business for our CPU franchise. In
2026, you should expect us to continue to invest aggressively, but as Lisa mentioned earlier, we do expect
revenue to expand faster than operating expense increase to drive the earnings per share expansion.
MATT RAMSAY: All right. Thank you, everybody, for participating on the call. Operator, I think we can go ahead and close the call
now. Thank you. Good evening.
concludes today's teleconference. You may disconnect your lines at this time and have a great rest of the day.