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FY2026 Q1April 23, 2026Audio · Click a word in the transcript to seek
Thank you for standing by and welcome to the Intel Corporation earnings, first quarter earnings,
2026 earnings conference call. At this time, all participants are in listen-only mode. After the speaker's presentation, there will be a question and answer session. To ask a question during this session, you'll need to press star 11 on your telephone. If your question has been answered and you'd like to remove yourself from the queue, simply press star 11 again. As a reminder, today's program is being recorded. And now I'd like to introduce your host for today's program, Mr. John Pitzer, Corporate Vice President of Investor Relations. Please go ahead, sir.
Thank you, Jonathan, and good afternoon to everyone joining us today. By now you should have received a copy of the Q1 earnings release and earnings presentation, both of which are available on our investor relations website, intc.com.
For those joining us online today, the earnings presentation is also available in our webcast window.
I am joined today by our CEO, Lip-Bu Tan, and by our CFO, David Zinsner.
Lip-Bu will open with comments on first quarter results, as well as provide an update on the progress we're making on our strategic priorities.
Dave will then discuss our overall financial results, including second quarter guidance, before we transition to answer your questions.
Before we begin, please note that today's discussion does contain forward-looking statements based on the environment as we currently see it. And as such are subject to various risks and uncertainties.
It also contains references to non-GAAP financial measures that we believe provide useful information to our investors.
Our earnings release, most recent annual report on Form 10-K, and other filings with the SEC provide more information on specific risk factors that could cause actual results to differ materially from our expectations.
They also provide additional information on our non-GAAP financial measures, including reconciliations where appropriate to our corresponding GAAP financial measures.
With that, let me turn things over to Lip-Bu.
Thank you, John, and good afternoon, everyone.
Q1 results demonstrate continued and steady progress across the business,
reflecting strong demand for our products.
And disciplined execution to expand available supply.
Revenue, gross margin,
and earnings per share were all above the high end of guidance,
marking our 6th consecutive quarter of exceeding financial expectations.
Even as we improve factory output
Demand continues to run ahead of supply
for all our businesses,
especially for Xeon server CPUs,
where we expect sustained momentum this year and next.
Intel 3-based Xeon 6
and Intel 18A-based Core Series 3 products are now in full volume production ramp,
and each represents the fastest new product ramp in 5 years.
We are maximizing and optimizing our factory output to meet customer needs.
It is our top priority.
Intel is now a very different company than when I first joined over a year ago.
We have taken
and continue to take deliberate steps to rebuild Intel
into a more competitive and more profitable company.
Our cultural transformation is well underway, and we are embracing our roots as data-driven, paranoid, and engineering-centric company.
We are also listening closely to our customers
and putting them at the center of everything we do.
Intel processes some of the most vital assets necessary to be successful and to flourish in this era of extraordinary opportunity for the semiconductor industry.
With a stronger balance sheet, a new leadership team, a rejuvenated and motivated workforce,
and a renewed focus on engineering execution,
we are turning our attention squarely towards innovation to capture opportunities in the near term and to position the company for robust growth in the long term.
Driven by tremendous demand for AI,
the semiconductor industry TAM
is now approaching $1 trillion.
Intel is well positioned to benefit from this demand
with 3 strategically important assets:
our x86 CPU franchise,
our advanced packaging technology,
and our vast manufacturing network.
Artificial intelligence is now moving into the real world towards a more distributed inference and reinforced learning workloads
like agentic physical AI and robots and edge AI.
This shift is now beginning to show up in our results,
as I want to spend some time on this today.
For the last few years,
the story around high-performance computing
was almost exclusively about GPU and other accelerators.
In recent months,
we have seen clear sign
that the CPU is reinserting itself as the indispensable foundation of the AI era.
CPU now serves as the orchestration layer and critical control plane for the entire AI stack.
This is not just our wishful thinking.
It is what we hear from our customers,
and this is evident in the demand profile for our products.
Xeon server demand is seeing strong and sustained momentum.
Customers are deploying server CPUs
along accelerators in the ratio that is moving
back towards CPU.
The accelerator remains central to frontier AI.
And we will continue to participate, innovate, and partner in that category.
Our recent announcement with SampaNova Systems
is an example of such partnership on heterogeneous compute architectures.
But the backbone of AI computing in production remain a CPU anchor architecture. That is good news for the x86 ecosystem.
It is great news for Intel.
And it is a structural reason I'm confident that CPU franchise will continue to be a meaningful growth engine for the company in the years ahead,
not just the quarters ahead.
Turning to Intel Foundry,
the accelerating deployment of AI infrastructure
creates a meaningful opportunity for us as we continue to build our external foundry business.
I'm pleased with the progress we have made in foundry technology development over the last year,
even though I will continue to remind you This will be a long journey for us.
We have made steady progress with Intel 4 and Intel 3,
and 18 AUs
are now running ahead of the internal projections,
representing a meaningful inflection in our execution and our factory finished good output.
We also continue to make steady progress on our advanced packaging technologies,
including additional growth in customer backlog in the quarter.
On Intel 18AP and Intel 14A,
we continue to be encouraged by our external engagements.
Intel 14A maturity, yield,
and performance are outpacing Intel 18A
at a similar point in time.
And we continue to develop PDKs
with multiple customers actively evaluating the technology.
Their partnership has been critical and their feedback is continue to help us define the technology so that we can cater to their needs.
We expect to see earlier design commitments emerge beginning in the second half of 2026 and expanding into the first half of 2027.
I'm particularly pleased that our progress today has driven us to land more of our own future product types,
on Intel 14A as well.
At a time when advanced wafer capacity is in short supply,
this enables us to have better control over our supply chain.
Intel has pioneered nearly every major innovation that has enabled dimensional scaling
and high-volume manufacturing of silicon transistors
over the last 6 decades.
We have always been willing to take measured risks that have eventually paved the way for step function improvements in transistor density, cost,
power, and performance.
As we look to continue challenging the status quo,
I can think of no better partners than Elon Musk.
We recently announced our partnership with SpaceX, xAI, and Tesla to support TeraFab.
Elon and I share a strong conviction that global semiconductor supply is not keeping pace with the rapid acceleration in demand.
We are excited to explore innovative ways to refactor silicon process technology,
looking for unconventional ways to improve manufacturing efficiency that will eventually lead to a dynamic improvement in the economics of semiconductor manufacturing.
A year ago, the conversation about Intel
was about whether we could survive.
Today is about how quickly we can add manufacturing capacity
and scale our supply to meet enormous demand for our products.
This is a fundamentally different company today,
and we still have a lot of work ahead.
I would like to take this opportunity to thank our many customers,
partners,
and our hardworking employees across the world for their contributions towards building a new Intel.
I remain firmly convinced of and focused on the opportunity ahead for Intel.
With that, I will pass it to Dave.
Thank you, Lip-Bu.
We delivered robust Q1 results reflecting strong demand and better-than-expected available supply.
We also benefited from improved product mix and pricing actions, in part to offset higher costs.
First quarter revenue was $13.6 billion,
$1.4 billion above the midpoint of our guide.
Q1 revenue would have been meaningfully higher but demand continues to outpace our growing supply.
Our collective AI-driven businesses now represent 60% of revenue and grew 40% year over year.
These results reflect real and deliberate changes we have made to be more responsive and accountable.
This quarter, our teams worked directly and diligently with customers to reach mutually beneficial outcomes in weeks, not months.
We value the partnership and support shown by our customers, partners, and suppliers as we work to navigate this environment together.
Non-GAAP gross margin came in at 41%,
approximately 650 basis points ahead of guidance, due to the combination of higher volume, which included previously reserved inventory, mix, and pricing.
In addition, Better yields on Intel 18A offset some of the higher cost we always incur in the early part of ramping a new node.
We delivered first quarter non-GAAP earnings per share of $0.29 versus our guidance of breakeven on higher revenue, stronger gross margins, and continued spending discipline.
Q1 EPS included a roughly $0.06 one-time gain in interest and other.
Q1 operating cash flow was $1.1 billion,
with gross CapEx of $5 billion in the quarter and adjusted free cash flow of minus $2 billion.
Moving to segment results.
CCG revenue was $7.7 billion, down 6% sequentially and better than our expectations.
Even with improved factory output, demand outstripped supply against a client TAM that remains resilient despite industry-wide component shortages and inflationary pressures.
Our AI PC revenue grew 8% sequentially and now represents greater than 60% of our client CPU mix.
Operating profit for CCG was $2.5 billion, 33% of revenue, and up approximately $300 million quarter-over-quarter on improved mix and product margins, sales of previously reserved inventory, better AT&A yields, and lower operating expenses.
Within the quarter, CCG launched Core Ultra Series 3 and expanded our offerings across consumer, commercial, and edge.
This has proven to be our strongest product launch in 5 years, delivering better performance per watt, stronger integrated graphics, and more capable on-device AI features, all while maintaining our broad ecosystem of compatibility that partners and customers value.
In Q1, CCG also expanded the reach of our Core family by launching the Intel Core Series 3 processor, which brings the latest IP, modern features, and all-day battery life to the mainstream for the first time.
We're enabling a new class of mainstream systems that once again set the standard for everyday computing.
DCI revenue was $5.1 billion, an increase of 7% sequentially and 22% year over year, well above expectations and reinforcing the strong year of growth for DCI we signaled 90 days ago.
Strength continued across all segments and customers as investments in CPUs are accelerating to support the evolution of AI from foundational training to inference and from inference to agentic.
We also saw strong ASIC growth with revenue up more than 30% sequentially and nearly doubling year over year.
Operating profit for DCI was $1.5 billion,
31% of revenue, and up approximately $292 million quarter over quarter on improved product margins, better cycle times and yields, especially on Intel 3, and lower operating expenses.
Within the quarter, DCAI signed multiple long-term agreements, including Google, supporting our view that the current business momentum is sustainable.
In addition, Xeon 6 was selected as the host CPU for NVIDIA's DGX Rubin NVL8 systems, and Xeon remains the most deployed host CPU due to its industry-leading memory, security, and networking orchestration.
Lastly, DCAI also established a multi-year collaboration with SambaNova to design a next-generation heterogeneous AI inference architecture combining SambaNova's RDUs and Intel Xeon 6 processors.
Intel Foundry delivered revenue of $5.4 billion, up 20% sequentially on increased EUV wafer mix driven by Intel 3. And significant growth in 18A.
External foundry revenue was $174 million in the quarter.
Intel Foundry operating loss in Q1 was $2.4 billion
and improved $72 million quarter over quarter as better yields across Intel 4, 3, and 18A drove higher gross margins.
This was mostly offset by increased operating expenses associated with an intentional step-up in Intel 14A investments to support both internal and external customer evaluations.
As a reminder, Intel Foundry carries the bulk of the costs associated with the early ramp of Intel 18A. And we expect Intel Foundry's operating loss to improve through the year as 18A continues to ramp into volume and yields improve further.
Within the quarter, Intel Foundry delivered output above our expectations drove steady improvements in yields, and met key 14A milestones.
Intel Foundry also added to its backlog of advanced packaging services and announced a multi-year expansion of our backend facilities in Malaysia.
This expansion will help support the committed demand that will begin to convert to revenue in 2027.
Turning to all other.
Revenue came in at $628 million and was up 9% sequentially due to a strong quarter for Mobileye. Collectively, the category delivered an operating profit of $102 million.
Now turning to guidance.
As we look ahead, we remain mindful that the macroeconomic and geopolitical environments are dynamic. Views on global growth, policy, and trade continue to shape customer behavior and investment decisions.
In addition, constraints and rising prices around key components like memory, wafers, and substrates are driving higher costs that could impact demand for our product at some point in the year.
We're prudently planning for PC demand to weaken in the second half of the year and expect the full-year PC unit TAM to be down low double-digit percent, in line with industry peers and experts.
Offsetting this,
near-term customer order patterns remain very robust across all of our businesses.
In addition, our confidence in the sustained growth of CPUs driven by the AI infrastructure buildout is growing.
Our outlook for server CPU demand has improved over the last 90 days, and we expect a strong year of double-digit unit growth for the industry and for us, with momentum extending into 2027.
Combining all of these factors, we're guiding Q2 revenue to a range of $13.8 to $14.8 billion,
up 2 to 9% sequentially.
As we work hard to support the needs of all of our customers, we expect sequential revenue growth in both CCG and DCAI on improved supply and a full quarter of pricing actions,
with DCAI up double digits.
At the midpoint of $14.3 billion,
we forecast a gross margin of 39%, a tax rate of 11%, and EPS of $0.20,
all on a non-GAAP basis.
Our Q2 gross margin guide declines modestly from Q1 due to a meaningfully larger contribution from Intel 18A, still early in its ramp, and some inventory benefits in Q1 that aren't expected to repeat in Q2.
Before I close, I'll share some additional insights on the full year.
We expect our factory network to continue increasing available supply in the third and fourth quarters though at a more measured pace than we anticipated 90 days ago, reflecting the base effect of much stronger than expected first half output.
We also expect 2026 revenue on a half-on-half basis to follow the seasonal trends experienced over the last 10 years, with servers above and PCs below.
We were very pleased with Q1 gross margins, and we will continue to push for gross margin expansion. It's my top priority. Our foundry team is delivering consistent yield and throughput improvements across all process nodes, which will help gross margins. With that said, Intel 18A is still early in its ramp, and rising input costs, especially in memory, present growing headwinds in the second half that we need to overcome.
For OpEx in 2026, we have been directionally targeting $16 billion,
but are likely to be higher due to inflationary pressures, variable compensation, and targeted investments we are making to capture the opportunities ahead.
The drive for efficiency is core to the new culture LiPo is creating, and we will remain laser-focused on finding additional operational improvements and maximizing ROI on all of our investing activities.
We forecast capital expenditures in 2026 to be flat to last year versus our prior expectation of flat to down reflecting increased capacity investments to support committed demand and a continued emphasis on improving fab productivity and output.
We now expect expenditures to be roughly equal across the year and still to be heavily weighted towards the equipment that directly grows wafer outs to support growth this year and next.
We recently closed the transaction to repurchase the 49% equity interest in the joint investment in Fab 34 in Ireland. A highly accretive deal allowing our shareholders to participate in the full economic benefits from a fab just now hitting its stride.
As a result, we now expect non-controlling interest, or NCI, to net to approximately $250 million in each of Q2, Q3, and Q4 of this year and be approximately $1.1 billion for 2027 and 2028 on a GAAP basis.
Lastly, excluding the buyout of the Fab 34 joint investment, we still expect positive adjusted free cash flow for the full year. As a reminder, we funded our purchase with approximately $7.7 billion in cash and $6.5 billion in new debt.
We remain committed to retiring all $2.5 billion of maturities as they come due this year and all $3.8 billion in 2027.
In closing, Q1 was a strong quarter financially and operationally.
All demand signals continue to emphasize the growing and essential role of the CPU in the AI era and the unprecedented demand for leading-edge wafers and advanced packaging to realize the vision of driving silicon-based intelligence to the edge efficiently and at scale.
Our confidence is growing. We have the right team and the broad IP portfolio needed to solve our customers' most pressing economic challenges and drive long-term value for our shareholders. With that, I'll turn it over to John to start the Q&A.
Thank you, Dave. As a reminder, please ask one question and a brief follow-up in order to allow us to accommodate as many callers as possible.
With that, Jonathan, can we please take the first question?
Certainly. And our first question comes from the line of Ben Reitzes from Emilias. Your question, please.
Hey guys, thanks a lot, um, and congrats on the quarter. And, and this is good good news for the country too.
With regard to my question, the first one is on LTAs. If you could just talk about the Google deal, and there's a comment, I believe, in the release that you signed other LTAs. How are these structured, and how do they give you better visibility long term in the data space?
[SPEAKING CHINESE]
Good question, Ben.
I think let me describe.
Google is one of the— multi-long-term contract agreement in Q1,
and this is significant. Google will have the Xeon IPO and building a long-term trusted partnership. It is very important for us.
It's a very— just evidence of a strong demand for our
CPU and some of the
ASIC business that is important for us. And this is a good example of how we win in AI infrastructure build-out. And then stay tuned, at the right time we will announce other contracts. Dave, anything to add?
Yeah, maybe just to add, most of these agreements are structured with volume and pricing,
and they're usually somewhere between 3 and 5 years.
You know, the Google one, I think both parties wanted to see an announcement. You know, in some cases customers want to keep that confidential and we respect their desire to maintain confidentiality. So some of them we just didn't announce.
You know, it's a win-win, I think, in a lot of ways.
We get a good understanding of the volumes that we can then build into our assumptions around supply.
It's good for the customer because they know where the supply is coming from and they get a good sense of what pricing they can expect.
Ben, do you have a brief follow-up?
Yeah, thanks, John. Um, with regard to CapEx, is there anything in there with regard to investing in foundry customers, or is that still not in there? And when do you think we'll hear more about that within the CapEx figure?
I would say, let me, let me unpack CapEx just for a minute. So we're, what we're now calling it is flat year over year.
Um,
you know, the initial thinking was that it was going to be down. I think we kind of moved it last quarter to flat to down, and now I
We're looking at flat and that is really a function of the current demand environment we're seeing.
One thing to keep in mind, in the last few years, a lot of our CapEx spending was space. And I think we're actually in a pretty good position in space.
We wanted to have white space available to move into when needed. And I think Lipu and I both feel like we're in a good place.
So we actually will be bringing the space spend down pretty materially.
Even though the total is flat.
And so what that means is the tool spend is actually increasing pretty significantly.
In fact, tool spending will be up year over year 25% or so.
And so, you know, that's, I think, a function of the fact that we just see a lot of demand and we wanna make sure we're catching up on the supply front.
And then as we get into next year, you know, we'll have a better sense, I think, of what CapEx looks like
for next year.
As it relates to external customers on the foundry side, you know, our expectation, in which we've been pretty consistent on this through almost, I think, a year, is that we thought that customer signals would be more concrete in the back half of this year and into early next year. And so as we kind of pull that information together, combined with our own requirements, which are growing over time here, that'll give us a good sense of what supply we need over the next few years, and we'll be, putting the spend in place. Lastly, maybe just to
tack on,
I think our relationship with the equipment vendors is quite strong.
And so I think we have a pretty good ability to flex as needed.
Naga and Lipu are in regular engagement with all of the CEOs of the equipment suppliers. And so I think we'll be able to,
manage and course correct as necessary
as we get a better sense of the supply dynamics for us, both internal and external, and move our capacity accordingly.
Thank you, Ben. Jonathan, can we have the next caller?
Certainly. And our next question comes from the line of Ross Seymour from Deutsche Bank.
Hi guys, thanks.
May I ask a couple questions?
First, on the CPU side of things, the server CPU side, can you talk about how Intel's positioned competitively? Is the strength that you're seeing more that the market demand is just that high, or do you believe that your product line actually has some competitive differentiations
versus either other x86 competitors or ARM offerings?
Yeah, Ross, I think good question. So first of all, I think the
feedback from the customer, CPU is very important when you move from training to inference.
Inference side, I think in terms of orchestration, control plane, and also managing all the different agents with data, CPU is much more efficient. So I think the ratio of CPU to GPUs used to be 1:8, and now it's 1:4, and I think towards parity or even better. So I think that demand is very strong. And then secondly, I think address your issue question. I think clearly we are kind of continue to refine our roadmap in terms of at the end of the day is the best product win.
We have a lot of changes in terms of the CPU architecture change to focus on optimize for the different workload. And then the other part is I think we have a very big advantage. We not just have the CPU, we have advanced packaging and foundry, we can really effectively driving some of the changes more quickly to serve the customer in terms of their different workload. So I think overall, I think it's exciting time that we call it the XPU. Besides CPU, we also quietly building up the GPU with the new hire, and also we are
moving into the accelerations. And so that we can serve the customer from the edge and then to the physical AI, and then really drive some of the new initiative to drive the competitiveness.
Ross, maybe one other thing to add is that, it's obviously early in the Granite Rapids lifecycle here, but so far the early traction has been quite good.
So at least that's a positive step for the data center CPU business.
Ross, do you have a follow-up question?
Yeah, I do.
Lipu, it's following up on something you said in your preamble where you said a year ago Intel was, you know, trying to survive and now it's all trying to scale the supply, and that's a very positive change year over year.
How does the business model and the spending behavior strategically change in that? Dave talked about increasing CapEx, you know, relatively small amount, you know, maybe $17 billion up to $18 billion this year. But if you're scaling supply, supply is under demand across the board. Is that something that you can handle with just improving yields, or does structurally CapEx need to go up and maybe call into question that you're not going to spend on 14A until you actually get customers thesis that you've said in the past?
Yeah, good question. So I think in terms of spending,
like Dave mentioned earlier, we are over the last year, we drive a lot of efficiency.
Driving a lot of layer of management team. And then now we are really focused on,
I spend a lot of time meeting with customer and customer customer. So we are understanding the workload, understanding
the engineering side, how do we drive improvement in terms of the architecture, the execution
in terms of tape-out and the design to really drive efficiency there. And then the more important, I think, is talk to the foundry side. Now clearly, we really drive the yield improvement. We see a very nice yield improvement on the 18A. And then the 14A, we already have the 0.5 PDK available, and now we are aiming for the 0.9 PDK. That's where customers starting to decide which product, how much volume capacity we need to have. And then besides just driving the yield, we're also driving the improvement in the cycle time so that we can really
meet the customer demand and timing that they request and then really optimize for them.
Jonathan, can we have the next question, please?
Certainly. And our next question comes from the line of Stacy Raskin from
Bernstein Research. Your question, please.
Hi guys, thanks for taking my questions.
For the first one, I did want to dig into the segment outlook and I guess the implications for gross margins. So you said data center up, I guess double digits. So that puts it up, I guess, 40% year over year, something like that.
Assuming PC sequential is, or year over year, similar up maybe low single. I guess I'm just surprised, you know, the gross margins, I understand the inventory
benefit in Q1, but it feels to me gross margins are still— are probably flat
excluding that inventory benefit, maybe even down a little bit. I guess I'm just surprised given
the magnitude of the server growth,
especially given the 18A yields are supposed to be improving. So are they still low enough that the 18A mix is just completely offsetting that? Or I guess any color you can give us in more detail on the gross margin drivers
in the near term would be really helpful. I'm just a little confused.
Yeah, okay, so I obviously don't have your model in front of me, but the,
you know, I'd say gross margins, if I unpack 2Q,
we will see some benefit from pricing. We got a little bit of pricing benefit in the first quarter,
but I would expect us to see some more meaningful improvement in the second quarter. That's certainly going to help.
Mix, I don't know, you know, it's gonna plus or minus be in the zip code. Yeah, data centers, like, is obviously gonna grow faster, I think, But I'm not sure that mix is going to drive much.
But 18A is going to be a pretty decent headwind to our gross margins.
And if you look at Panther Lake volume increases, it's going to be going up
6 or 7 times in the second quarter relative to the first quarter. And while the gross margins are improving in Panther Lake quarter to quarter, it's still below the corporate average. So when you have that big a shift in the mix,
with gross margins below the corporate average, it weighs down on the gross margins. But we're roughly in the zip code of what Q1 was like anyway, so I'm not too concerned about it. In the back half of the year, we'll see some of those dynamics helping us. I'd say the one cautionary concern I have on gross margin in the back half of the year is just some of the materials have gone up in terms of cost, substrates are going up, T-glass, we've got memory going up, as you know. So So those things offset some of
the improvements that we're having through the year. Longer term, I'm still hyper-focused on gross margins. And, you know, I think we have
elements of the roadmap in the right place in terms of cost structure, certainly on client,
definitely seeing improvement on the foundry side. We got more work to do on the data center front, but our goal is, you know, get the gross margins up clearly.
Stacy, do you have a follow-up question?
I do, thanks. I'm to push on the PC a little bit. So you said industry
volumes probably down double digits, so it's going to be even worse, I guess, in the second half given where you guys are running pretty strong in the first half.
I guess, do you expect your full-year client revenues to be down consistent with that industry outlook? Or is pricing helping you or hurting you?
Is share helping you or hurting you?
How do you think about
the shape of your client business in the wake of that industry forecast?
Yeah, good question.
Well, one thing you got to kind of separate is when we talk about the industry, we're generally talking about consumption, and when we're obviously, you know, that's different than our billings
because of the inventory movements at customers.
I don't—
we're not going to be as impacted as the industry TAM because we expect, partly because of pricing a little bit, but but also because of,
you know, inventory replenishment at the customer level. So I think, you know, from a modeling perspective, if we— whatever we get to in 2Q is probably what we run the rest of the year roughly. So it's going to be kind of flattish from Q2 onward from a revenue perspective, at least that's how we're modeling it.
Jonathan, can we have the next question, please?
Certainly. And our next question comes from the line of Timothy O'Curry from UBS. Your question, please.
Thanks a lot.
I want to ask just about the evolution of your foundry model. And, you know, of course you're pursuing typical foundry customers, but it seems like TeraFab is a little bit of a different deal and maybe even like a process licensing agreement. You know, I wouldn't normally ask about one particular customer, but he did talk about it yesterday. So I'm wondering if you can just talk about that. Like, is that going to be a typical foundry arrangement or are you sort of, you know, going to possibly turn the keys over on like an entire fab to
them?
Thanks.
Yeah, Timothy, thanks so much for the question. So I think on the 14A, I think we are making great progress in terms of yield
and cycle time. And clearly we're engaging with multiple customers, you know, heavy engaging. And as usually my style is under-promise, over-delivering.
So we have no plan to announce the customer unless a customer wants to announce it, and we are supporting that. So I think back to the tariff, Fab, you know, clearly Elon and I, we believe that, you know, global supply chain is not keeping
pace with the rapid acceleration in the demand. And so we both share the vision that we're going to learn a lot together exploring the innovative way and then in the process of the manufacturing. Saying all this, clearly it's a very broad relationship, and then we would update you as we go.
Clearly, this is a very exciting customer to work with, and we have multiple other customers we are engaging. Stay tuned, we'll update you when we come.
Tim, do you have a follow-up?
I do, yeah.
Dave, is there a way
to sort of quantify how much demand you're sort of missing out on? How much are you undershipping the market still in Q2? Is it like as much as 10%? So if you were unconstrained, you could, you know, revenue would be like 10% higher? Is that like a reasonable number?
I'd probably, you know, not want to put a specific number.
Let's just say it starts with a B.
So it's meaningful.
Jonathan, can we have the next caller, please?
Certainly. And our next question comes from the line of Vivek Arya from Bank of America Securities. Your question, please.
Thanks for taking my question. For the first one, I just wanted to understand the server CPU TAM growth this year. I think, Dave, you mentioned up double digit. I was hoping you could help kind of tighten that. Is it 10-15, 15-20? And then how much ASP expansion do you expect this year also, right? And what I'm really curious to understand is the new server TAM growth that you have, how does this compare versus what you thought 6 months ago, just so that we can get a better sense for what does this Agentic CPU workload mean
in terms of incremental unit and ASP growth?
I mean, I think when we're talking about the market, we're generally talking about units. You know, 6 months ago,
we certainly expected it— well, I'd say probably at that point we were thinking it would be up instead of down from a units perspective. Now obviously it's going to be up meaningfully. I'll probably leave it to the industry analysts to come up, pinpoint the exact number. ASPs, we have moved obviously to offset some of the cost increases we've seen over the last couple of quarters,
but it's, it's not the biggest driver obviously of our revenue outlook. We think, you know, the unit volume is going to be the biggest driver. Now that's on an ASP per core basis. Obviously, core count is increasing significantly in the data center CPU space. And so, you know, we get the lift on a, you know, as core count increases, we get the lift on the
ASPs from that. And that obviously is meaningful.
Vivek, do you have a follow-up question?
Yes, thank you, John. Maybe the follow-up, Lip-Bu, is for you on server CPU competition.
So both, you know, when we look at competition versus x86 against AMD? Do you think you are gaining share? Do you expect to gain share against them? And then broader, I think the competition against ARM, because NVIDIA is planning to launch a standalone, you know, VERA CPU rack. Recently we heard Amazon talk up their Graviton option. I think Google yesterday said they would launch Axion and connect it with every TPU. So just kind of near-term, how do you look at competition versus AMD in x86? And then kind of medium to longer term, How do you
see the competition develop against Arm?
Thank you.
Good question, Vivek. I think clearly a couple of things. One,
you know,
the CPU is a great demand right now. I think we all enjoy that. And then in terms of our product roadmap, we have been fine-tuning the last year. You know, typical new chip come out, it will take about 12 to 18 months. We are laser-focused on execution. Multi-threading, I think we are putting in. So we're going to have a Cora Rapid, have the multi-threading,
then we can compete effectively with AMD. And, you know, we try to accelerate that Cora Rapid ahead.
And then the other part is we're also looking at some of the
architecture,
CPU and GPU architecture. I've been recruiting some of the top talent to really refine the new product to effectively competing against.
In terms of your second question about Arm, you know, clearly we know Arm a lot, a lot of respect for them. Rene is a good friend of mine. They have a licensing model. They have been very effective. And of course, they have continued to raise the loyalty fee. And then now they also have the silicon team and are building the silicon to compete
and then provide the reference. Clearly some of the Amazon, Google, they are using that. That's not news.
I sold the Annapurna Lab back to Amazon, so very familiar with that.
Good news is I think clearly we have this OEM customer working with us, and then we also have a long-term relationship with some of these important customers. The roadmap from Granite Rapid to Diamond Rapid, and then now to Coral Rapid is coming up strong. We very like our portfolio. And then on the
server side, we also look at beside the x86, and we also have some Lenovo partnership so that we do the data flow architecture to really driving that whole together. And we already have some success on that. And then the other part, we also recruit some of the top talent. Kavok used to be running the ARM, data center server chips, so he know very well. And then Srini used to be working with me at Cadence. We optimize for all the ARM
products for the customer, so he know how to optimize all the requirement in terms of tweaking the performance to meet some of the requirement. So I think all in all, I think we have the team, we have the technology roadmap. I think we're going to be over time going to be a very effective competitors to them.
And keep in mind, Vivek, that beyond the product side, we have another bite at the apple or maybe multiple bites at the apple on the foundry side. We can provide customers with advanced packaging, we can provide customers with wafers. So we have a pretty strong breadth of offerings to customers to help support their CPU needs or AI needs.
In the marketplace.
Thanks, Vivek. Jonathan, can we have the next caller, please?
Certainly. Our next question comes from the line of CJ Muse from Cantor Fitzgerald. Your question, please.
Yeah, good afternoon.
Thank you for taking the question. I guess I was hoping you could walk through how you're planning to drive increased output through the second half of the year. You know, how much of it is yields, how much of it is cycle times, you know, how much incremental wafer fab equipment, as well as
out-sourcing to TSMC. Would love to kind of get a feel for that, please.
Yeah.
Okay.
So first and foremost, we are increasing wafer starts in all three of our nodes, Intel 10/7,
Intel 3, and 18A.
More meaningfully, the EUV nodes, of course, but even Intel 10/7 will be increasing wafer starts this year.
So that's a key component.
Of our ability to meet demand. That said, Lip-Bu has pushed the team really hard to provide more supply the old-fashioned way with better yields and better throughput. And I think that's largely how we got it in the first quarter. So we can expect him to do that through the year. And I think that will be a meaningful contributor to our output. Of course, we use outside foundries as well, and
we flex them as needed as well.
We have got—
Lipu's got great relationships with the external foundries, and so he's able to leverage that to help us in that area as well. So there'll be certainly a component of it as we move through the year.
Just to add on to that, I mean, TSMC is a very important partner for us.
Morris and CC, have decades of friendship. And then clearly, we know our product group will decide, you know, which is the best foundry. So I think we're going to use a multi-foundry approach, our own internal and also external. And so we really have good relationship, continue to build from both side to benefit the customer.
C.D., do you have a follow-up?
I do.
Thanks, John. I guess would love to kind of level set where we are on the advanced packaging front. You talked about rising backlog. Anything you can share in terms of what that number looks like, revenue targets this year or next, the number of customers, any help there would be great. Thank you so much.
Yeah, I mean, I think I've actually said this in the past.
You know, we have been
really pleased with our traction there. And I think maybe naively I had thought that these opportunities would come in the hundreds of millions of dollars
level. But so far what we're seeing is that their demand is more in the billions of dollars per year kind of level.
So this is gonna be a big part of the
foundry revenue
as we get through this decade. And the good news is advanced packaging really is a differentiated offering for us, and it does a lot for the customer in terms of allowing them to use larger reticles.
So there's real value to the customer.
And as a result, we get very, attractive pricing relative to some of the other areas of the foundry business. So we'd expect this to be at least, you know, foundry at corporate average or foundry average gross margins over time.
Thanks, CJ.
Jonathan, do we have— can we have the next caller, please?
Certainly. Our next question comes from the line of Srinivas from RBC. Your question, please.
Thank you. My first question on the 18-year, 18-year yields, Dave. You obviously said the yields are better than you expected and looks like they're improving further. But at the same time, it is still a headwind to your gross margin. So if you could give us some context as to how much better they are. And also, as you go through the year, when do you see— I guess, when do you expect that being a headwind to your gross margin, when do you expect that to, I guess, at least neutral to gross margins?
Yeah, I think 18A yields are somewhat a closely guarded proprietary piece of information for us. So we don't— typically. I would just say Lipu had a target as we came into the year for the end of this year, and we're probably going to hit that probably the middle of this year. So
he's done a very good job working the team to drive a better response there.
And of course, that carries on to next year's expectations around yields.
I think as we get towards the end of the year, on a kind of a full-picked basis, you know, this is combining the product margins
and the foundry margins, we'll be in a relatively decent place in terms of the gross margins at Panther Lake.
You know, we've got more work to do at the foundry level to drive the gross margins to where we wanna be. That's going to be multiple, multiple quarters before we get those to be foundry average gross margins.
It's tracking better than we expected, which is good.
I think we have focused a lot on yields.
Lipu's brought in a lot of talent into that space to really focus on it. And we've brought in
external partners that are particularly good at including metrology that's helped us
execute better there. And we're starting to see the benefits of that this quarter.
Srini, do you have a follow-up question?
Yes, John, thank you. And then on the ASIC business, Dave, I think you said it doubled year on year.
If you could maybe help us with, you know, what is included in that. I believe it's IPUs, but I just want to get a better sense how big it is. And as we look out to the next few years, you know, what's the strategy for that, you know, business to grow? I mean, are you going after the classic ASICs in terms of XPUs, or is this more, more some of the adjacencies like what you're doing with IPs. Any color would be, I think, helpful.
Thank you.
Well, thank you, Sweeney. I think it's a good question. So I think this ASIC business, I sometimes I call it the purpose-built silicon optimized for specific workload the customer want, and that's very important. I spend most of my time beside run and now focus on engineering improvement is spending a lot of time with customer. So it's very important to understand that workload And then how do we drive the workload and then to purposely tailor for their requirement. And then clearly it's very important to really have the right strong IP portfolio to able to do that.
And also we are very unique position. We have the CPU, XPU,
and then we also have the advanced packaging and also advanced processing so that we can really optimize for the customer That I think is a very exciting opportunity.
It's a fast-growing
area.
And then clearly we have something unique to offer. And we already engaging with couple of customer. The feedback from the customer is very excited, very positive to work with us. And I think stay tuned, that one, the next 5 years going to be a fast-growing for us.
I think one thing that people have been surprised about is how big the business is already. You know, it's at a run rate that's north of $1 billion already.
I think Lipu and his partner Srini have barely gotten started in terms of what we can make from that.
So it's got a really strong base in which to grow meaningfully from.
Jonathan, can we have the next caller, please?
Certainly. Our next question comes from the line of Joshua Buchalter from TD Cowen. Your question, please.
Hey guys, thanks for taking my question and congrats on the very strong numbers.
I actually wanted to follow up on Vivek's question from earlier.
You know, you gave some metrics on the near-term CPU TAM. But I think investors are directionally really struggling with how to model the CPU demand for Magentic workloads. Any help you can provide us longer term about how we should think about growth, whether in terms of units, cores, gigawatts, CapEx, just anything you can give us.
I mean, to put it bluntly, is the $100 billion number that Arm gave reasonable in your view?
Thank you.
Yeah, maybe I'll start and Lipu can
pile on here.
You know, I think one statistic that we look at is the ratio of CPUs to GPUs.
And if you look at training
solutions, they're generally running in the kind of 7 to 8 GPUs to 1 CPU.
As we look into inference, it's probably getting into like the 3 to 4 to 1 kind of level. And as you get into
agentic and multi-agent, it's one potentially even flip in the other direction a little bit. So that's one way to think about it. As you think about the growth rate now going forward, it's going to become a significant part of the
AI TAM.
Keep in mind also, I would just say, data center obviously is where we're focusing a lot of our conversation on, but there is going to be AI and particularly CPU opportunities in a lot of different areas. The client space is, of course, as I already said, migrating towards AI PC in a more meaningful way. There's edge computing, there's physical AI specifically. All of those, I think, can benefit a lot from CPUs because of the nature of the power consumption
relative to the performance. And so, you know, those, those areas could have even more explosive growth
than the data center space.
Yeah, just to add on to it, you know, I think we have to think about the full stack. And so you address some of this agentic AI and later on the physical AI, how the CPU optimize working together with the foundation models, how to optimize that and using the data to really drive the massive opportunity in the agentic AI. I think inference is going to be a much bigger market. And the physical AIs and other big markets. So I think with that, that's an opportunity for us and it's hard to quantify, but I think as
you go, we will update you on that.
Josh, you have a quick follow-up?
Yeah, sure. Thank you for all the color there. And then, you know, as we think about your
capacity tightness, the leading-edge foundries are also quite tight as well. Has this driven any near to medium-term share gains and losses longer term, how important is your captive capacity to winning business with customers on a multi-year basis? Thank you.
Yeah, I mean, obviously all the supply right now, or the lion's share of the supply, is all internal, you know, but we do expect obviously to win customers over time.
You know, I think
You know, I don't know.
Is there anything else you want to add, Limbu?
I don't—
yeah.
Perfect.
Jonathan, I think we have time for one more question, please.
Certainly. Then our final question for today comes from the line of Aaron Rickers from Wells Fargo. Your question, please.
Yeah.
Thanks for taking the question. I want to go down the path of the supply side as well. I think in prior quarters, the suggestion was that you were reallocating maybe some supply of wafers from client to data center. And I think the notion was that maybe 1Q would kind of be the peak degree of constraints.
As you rolled up your guidance for this current quarter, I'm curious of how you would frame, you know, the level of constraints that you see in the guidance this quarter. And maybe, you know, does the back half improve that dramatically?
Supply will go up in the second quarter. It's going to go up every quarter.
Now going forward. I would say, you know, we certainly were in our lowest point in terms of supply probably in this— in the first quarter relative to the rest of the year. But what we were able to do in the first quarter was go through finished goods inventory and find opportunities to sell product we didn't think we would be able to move. It was either despec'd product or it was legacy product we had shelved and and then, you know, worked with customers and found opportunities for them to leverage that technology in their system.
So that helped out a lot. I'm not sure we have that benefit in the second quarter.
So obviously we will scrutinize our finished goods inventory to see if we can find some opportunities. But for the most part, what we're relying on from a volume growth perspective, Q2 versus Q1, is going to be increasing supply.
Aaron, do you have a quick follow-up?
I do.
Thank you, John. I guess as a follow-up, I know you talked about kind of the path of the server CPU and the competitive dynamics there. And I can appreciate that you're not giving kind of descriptive timing of kind of roadmaps or future generation products, but how do we think about like the progression of your CPU on the server side, Xeon to Diamond Rapids, Coral Rapids, and really kind of closing that gap with simultaneous multithreading? Just any kind of color on the cadence of the roadmap would be helpful.
Thank you. I think clearly that the demand is strong and then we fine-tune the roadmap. I think clearly we highlight the Diamond Rapid, you know, after the Granite Rapid we have, and then Cora Rapid is the next one that we're multi-threading. And then so I think that is our roadmap. We laser focus on execution. And then meanwhile, we're going to use our ASIC business to really drive some of the customer requirement. We can build some purpose-built silicon in the short term, and then that is a huge opportunity for us. We have all the unique asset
that we can really provide. So I think those are kind of roadmap and execution. I think year 2026, I call it the year of execution. So we are improving the execution. Back to Dave mentioned about the yield, productivity, the cycle time, make sure that in our supply chain we can catch up with the demand.
With that,
I would like to thank everyone again for joining us today.
It has been an eventful first year for me at Intel. It is gratifying to see our progress, even as we know we have a lot more to do. I'm looking forward to seeing many of you at the JPMorgan conference in May and at the Computex in June.
Thank you, ladies and gentlemen, for your participation in today's conference. This does conclude the program. You may now disconnect. Good day.
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