Good afternoon, and welcome to the Fiscal Year 2024 Fourth Quarter and Year-End Financial Results Conference Call for Dell Technologies Inc. I'd like to inform all participants; this call is being recorded at the request of Dell Technologies. This broadcast is the copyrighted property of Dell Technologies Inc. Any rebroadcast of this information in whole or in part without the prior written permission of Dell Technologies is prohibited. Following prepared remarks, we will conduct a question-and-answer session. [Operator Instructions] I'd like to turn the call over to Rob Williams, Head of Investor Relations. Mr. Williams, you may begin.

Thanks, everyone, for joining us. With me today are Jeff Clarke, Yvonne McGill and Tyler Johnson. Our earnings materials are available on our IR website, and I encourage you to review these materials and the presentation, which includes additional content to complement our discussion this afternoon. Guidance will be covered on today's call. During this call, unless otherwise indicated, all references to financial measures refer to non-GAAP financial measures, including non-GAAP gross margin, operating expenses, operating income, net income, diluted earnings per share and adjusted free cash flow. A reconciliation of these measures to their most directly comparable GAAP measures can be found in our web deck and our press release. Growth percentages refer to year-over-year change unless otherwise specified. Statements made during this call that relate to future results and events are forward-looking statements based on current expectations. Actual results and events could differ materially from those projected due to a number of risks and uncertainties, which are discussed in our web deck and our SEC filings. We assume no obligation to update our forward-looking statements. Now I'll turn it over to Jeff.

Thanks Rob, and thanks, everyone, for joining us. As I reflect back on this past year, it's increasingly clear that data and technology are essential to everything our customers do, and Dell is well-positioned to thrive in this environment. Our FY24 revenue was $88.4 billion, with operating income of $7.7 billion and EPS of $7.13. In a year where revenue declined, we maintained our focus on operational excellence, delivering solid earnings per share and outstanding cash flow. FY24 was one of those years that didn't go as planned, but I really like how we navigated it. We showed our grit and determination by quickly adapting to a dynamic market, focusing on what we can control, and extending our model into the high-growth AI opportunity. Our operating margin rate improved as we delivered higher gross margins with disciplined operating expense management. We focused on cash and working capital improvements, generating $8.7 billion cash flow from operations, and we improved our cash conversion cycle to negative 47 days exiting the year, a 15-day improvement. We delivered on our capital allocation commitments, and we have returned $7 billion to shareholders since the initiation of our dividend. Earlier today, we announced an increase to our dividend, which Yvonne will cover in more detail. We have positioned ourselves well in AI. We've already started to benefit from the momentum we're seeing. We saw strong demand continue for our AI-optimized server portfolio, including our flagship PowerEdge XE9680, which remains the fastest-ramping solution in company history. We have just started to touch the AI opportunities ahead of us, including broader adoption of AI by enterprise customers and the projected growth in unstructured data where we are well-positioned with industry-leading storage solutions. We believe the long-term AI action is on-prem where customers can keep their data and intellectual…

Thanks, Jeff. In Q4, we delivered revenue of $22.3 billion, down 11%, with strong gross margins and lower operating expense. Gross margin was $5.5 billion and 24.5% of revenue, up 70 basis points, with a mixed shift to ISG. We saw increased pricing pressure in Q4 in PCs and servers, but remained focused on profitable opportunities and we will continue to maintain that discipline and focus going forward. Operating expense was almost $0.5 billion lower than this time last year at $3.3 billion, or 14.9% of revenue, down 12% as we actively manage our overall spend. Operating income was 9.6% of revenue and $2.1 billion, down 1%, with lower operating expense and an increase in our gross margin rate, largely offsetting the revenue decline. Q4 net income was $1.6 billion, up 22%, driven by a lower tax rate and lower I&O. Diluted EPS was $2.20, up 22%. ISG revenue was $9.3 billion, down 6% and up 10% sequentially. Servers and networking revenue was $4.9 billion, down 2% year-over-year and up 4% sequentially. Server order growth was strong, with the majority of our AI-optimized server orders going into backlog. Our AI mix of server demand increased again sequentially, given strong customer interest in GenAI. We delivered storage revenue of $4.5 billion, down 10% year-over-year and up 16% sequentially, with better profitability as we increased our mix of proprietary storage software. Demand improved sequentially across the storage portfolio, above our normal seasonality. ISG operating income was 15.3% of revenue and $1.4 billion, down 7%, driven by a decline in revenue and a lower gross margin rate, given the higher AI-optimized server mix, partially offset by lower operating expense. Our Q4 CSG revenue was $11.7 billion, down 12%, largely driven by a decline in units. Commercial and consumer revenue were $9.6 billion and…

Thanks Yvonne. Let's get to Q&A. We ask that each participant ask one question to allow us to get to as many of you as possible. Let's go to the first question.

Thank you. We will take our first question from David Vogt with UBS.

Great, thanks guys for taking my question. I just wanted to go back to a comment that Jeff made in the prepared remarks about the unstructured data opportunity going forward. Just would love to kind of get a sense for how you're thinking about the storage opportunity as AI broadens out in your server portfolio and how should we be thinking about the timing? I know you generally speaking storage kind of follow the servers by one to two quarters, but with the AI opportunity, did that change in any way and how are you thinking about leveraging your existing portfolio to take advantage of all this data that's being created? Thanks.

Sure, thanks for the question, David. I look at it and maybe in the simplest terms to feed these GPUs with the data they need to train models, fine tune models, then ultimately drive them into production via inference is data, data intensive. And we look at that sort of architecture that these things need to be fed and fed an incredibly high bandwidth to make sure the GPU engines aren't idle. And when we reflect on what's happening in the marketplace with training, a lot of training initially has been done in text and as we get to richer data sets and we move into enterprise, which we would think the big opportunity is as AI tracks to where the data is created, which is on-prem or out at the edge of the network, it lends itself to a growing storage opportunity for us. And I really like our portfolio. I think about what we've done with PowerScale, recently launched the F710 and 210 where we've increased the write performance, we've increased the read performance, we've increased the performance around some of these high concurrency, latency sensitive workloads. It's aligned with what is going to be the growing need as this gets deployed inside the enterprise. And I think the same is true around our object scale product, the XF960. These are the types of assets and capabilities that our customers are going to need as they really move from training to inference out into what we call the real production world. And we like our portfolio. You may have seen an announcement from us early in the quarter around a SuperPOD certified with Ethernet. We think that is an absolutely critical capability of bringing storage into the enterprise. Many and most enterprises are Ethernet based. That's a huge opportunity being in the marketplace with that and the new storage products that I referenced, I think sets up quite well to be able to feed these new workloads with high performance storage, which we tend to be the leader in.

All right, thanks Jeff for the color. That helps.

And we will take our next question from Eric Woodring with Morgan Stanley.

Super guys, thanks so much for taking my question. Jeff, I was wondering if you could expand maybe a bit on some of the qualitative characteristics around your AI optimized server backlog order and pipeline, meaning the mix of tier two cloud customers that you've talked about in the past versus enterprises, how that looks like from a dollar or a client count perspective, if or what you are hearing from any sovereigns, linearity in the quarter and any kind of qualitative details that you could share with us. Thanks so much.

Sure, there's a lot to answer there. Let me start with maybe the demand. And you heard us talk about the demand up sequentially 40%. And that demand was across a rich customer set. The number of CSPs grew, the number of enterprise buyers grew. So for us, two important indicators is less concentrated this quarter than the previous quarter with more customers in both the CSP category and the enterprise category buying from us. That demand was spread across the H100, H800, the H200 and the MI300X. So we sold a broad portfolio or a broad portfolio of silicon diversity into the marketplace for our customers. That's reflected in our backlog. And the backlog is hard to parse in the sense of a single lead time because it's now a complex backlog with multiple variants before that I mentioned across deployments needed today, deployments needed through the balance of the quarter and balance of the first half and balance of the second half. So we had delivery dates planned on new data center capabilities or new data center build out. So we're excited about that. Probably another important characterization about the demand and how the backlog looks is the pipeline grew. We talked about our five-quarter pipeline at the last call. The five-quarter pipeline grew this quarter as well. So who we sold to grew. The potential of who we're going to sell to grew. The number of shipments that we had during the quarter grew and the backlog grew. And we expect to ship more in Q1 than we shipped in Q4. I hope that was the color that you're looking for. And maybe the last part of your question is there's certainly a lot of energy and opportunity around these emerging nation state opportunities, building out AI and rebuilding their economies around these modern technologies. We believe we're in those discussions. We believe that's a very untapped opportunity in the marketplace and we're certainly with our geographic coverage and our go-to-market coverage believe we're in the game.

Beautiful. Thank you.

Thanks, Eric.

We'll take our next question from Aaron Rakers with Well Fargo.

Yes, thanks for taking the question and congrats on the good results. I guess getting away from maybe the AI because I'm sure a lot of people are focused there, but I'm curious in your comments on the traditional server market. I know some of the Gartner data suggests we're still seeing overall units down quite a bit on a year-over-year basis and servers offset by AI. But what's giving you the confidence or the visibility that you're starting to see the traditional server market recover? And just, any thoughts on the pace of that as we look through the calendar year?

Well, maybe a couple of data points and I'm sure Yvonne will add to this. But I think we mentioned in our talking point the traditional server business grew year-over-year in demand in Q4. It was the third consecutive quarter of sequential growth. We look into the pipeline of the coming year and it continues to improve. This is the longest digestion period that I can recollect in this industry. Everything is setting up for an investment in traditional servers to run traditional server workloads, which are very different than these accelerated AI workloads. So our line of sight into what our customers need gives us confidence that we believe that traditional servers are recovering. The question will be rate and what rate will they recover, but we're optimistic. A long digestion period, those workloads still very important running mission-critical workloads in many of our largest customers all the way down to small and medium businesses. The performance that we exit or the momentum that we exit in the year with I think gives us the ability to look going forward. Our own internal modeling says that our traditional server market is a modest growth on a year-over-year basis. Yvonne, anything?

No, I think you had it and it's really just the moving forward into the next year and the continuation of that, of the trend we've been seeing after the three quarters in a row.

Excellent. Thank you.

Thanks, Aaron.

We will take our next question from Toni Sacconaghi with Bernstein.

Yes, thank you. I just wanted to explore the margin question a little bit. I think you talked about growth margins being down sequentially and the first sighted reason was higher AI mix. AI was less than 5%, AI services was less than 5% of your revenues this quarter, probably will be next quarter. So for 5% of your revenues to have an impact on growth margins that you're calling out would suggest that AI server margins are really low. So can you A, explicitly address that math of where AI server margins are relative to company average growth margins? And can you talk about how you think about PC margins in fiscal Q1 and for fiscal 2025? Thank you.

Thanks, Toni. We obviously now we closed out FY 2024 with really strong profitability and moving into Q1, there's a number of factors that we're looking at. We've got CSG and ISG combined and expect them to grow about 5% year-over-year at the midpoint. We have total revenue at the midpoint expected to grow and deliver at $21.5 billion or up 3%. ISG is expected to grow in the teens driven by traditional and AI services. CSG is expected to be down in the low single digits, so minus three about year-over-year. And then we get to gross margin rate, which I think is the key to your question. So we expect that to be down quarter-on-quarter, about 200 basis points. Now, what is supporting that expectation? We are seasonally lower in storage mix. We see that every Q4 to Q1, so that's one of the drivers. We will have higher AI optimized server mix in Q1. Jeff already talked about that in question. And then holistically, we have another few influences on the margin. We've got an inflationary component cost environment. We're moving from deflationary last year to inflationary in the year that we are in right now. And then I'd say there's more competitive pressure. We're seeing more and more of that. And so that's what we expect to be impacting the gross margin. And I'd say operating margin rates will be down quarter-over-quarter due to all the items I just mentioned. But for the year, we're expecting improved performance as the quarters progress. So I think we're starting this way with what we're seeing now, but again, we expect this to continue to progress as the year does.

All right, thanks, Toni.

We'll now take our next question from Ananda Baruah with Loop Capital.

Yes, good afternoon, guys. Thanks for taking the question and congrats on the good results and solid execution. I guess I'll use my question just on Gen AI and customer base and was just interested, Jeff, in getting the company's view on the opportunity over time to maybe participate with the hyperscalers. And one of the reasons that I'm thinking to ask this is that what we're hearing is we get maybe into calendar 2025, B100 of volume, the hyperscalers' real desire to sort of get fully integrated racks delivered, fully integrated racks, something that the OEMs like yourself would do well, would maybe be in your warehouse. So just wanted to get your thoughts on that and that's it for me. Thanks a lot.

Sure, I'll see if I can address the question. I mean, the first thing you probably noticed in our web deck is we increased our view of the opportunity in the marketplace to $152 billion, 20% CAGR going forward to 2027. And quite frankly, that's probably a lagging indicator. It's still catching up. We think demand continues to be ahead of that. Primarily driven is the overall desire, demand for the computational components to do AI exceeds the supply picture. And quite frankly, it's refreshing to see. We have a high growth category here. That growth is happening certainly in the public cloud, but increasingly more so in enterprises, which is what certainly given our reach in the vast capabilities that we have in business to help customers adopt AI into their business flows, I think it's a big opportunity for us. It's where the data is. 83% of all data is on-prem. We think AI moves to the data. More data will be created outside of the data center going forward than inside the data center today. That's going to happen at the edge of the network. A smart factory, an oil derrick or platform, a deep up mine, all variations of this. We believe AI will ultimately get deployed next to where the data is created driven by latency. And we think about this, the opportunity is to get the training and fine tuning, which is well underway now. But I mentioned earlier this notion about AI in production, inferencing, running the actual tool in production to get the outcomes that businesses want. We believe that's the untapped large opportunity, get my words in the right order, going forward for us. So this notion of enterprise, our enterprise customer base growing, we've sold to education customers, manufacturing customers, governments. We've sold to financial services, business, engineering and consumer services companies. They're seeing vast deployments, proving out the technology. And some cases are using the tooling of the public cloud. And then they quickly find that they want to run AI on-prem because they want to control their data. They want to secure their data. It's their IP and they want to run domain specific and process specific models to get the outcomes they're looking for. Hopefully that gave you a rich context of what we're seeing across the customer base, the opportunity for us going forward. And this is at node scale, rack scale, and data center scale.

Thanks a lot.

Thanks for the color, Ananda.

Thank you.

You're very welcome.

We will take our next question from Wamsi Mohan with Bank of America.

Yes, thank you so much. You called out pricing pressure in AI servers. How are you responding to that? You think that you're leaving any revenue or orders on the table if the financial returns were not acceptable or are we not anywhere close to that point yet? And if you could just clarify this acceleration in ISG growth that we're looking at in next quarter. This quarter, server revenue growth was still relatively weak within servers and networking despite a very strong 800 million in AI servers. So just hoping to think through how you're expecting the AI or non-AI server component of that in that ISG growth over the next quarter. Thank you.

Maybe a couple of market descriptors and then Yvonne can weigh in on the financial impact. Well, the competitive market in PCs increased quarter-over-quarter and particularly in low price bands. So when we made remarks about us being selective or focusing on profitability, that's how to decode it in the PC business is that this sub $500 market opportunity is certainly less profitable and we were much more guarded of how much we participated in that, which led to our share. We actually took share in mid-range and high-end price bands in mature markets. So I think that's a component of this. When I look at AI and then the comments around AI and margins, our margins actually improved quarter-over-quarter with AI. That's an encouraging sign. There's still less than traditional servers on a rate basis, but improving it's the second consecutive quarter of improvement. So that's some color about what's happening in the marketplace. We did see in traditional servers that in large bids, the competitiveness did increase quarter-over-quarter in Q4. We expect that to continue. That's not uncommon. Yvonne?

No, I would. As we look at the holistic server portfolio for Q1, we're seeing obviously strong growth driven by the AI servers, but we're seeing growth, as we've talked about, sequential growth over traditional servers. It's close. We're not seeing, we're expecting growth to return year-over-year in traditional servers, but it's a very competitive market, as Jeff mentioned. What I'm really excited about is the other thing that Jeff talked about on really getting more and more value out of our GPU servers, really with, as we move more and more into the enterprise and get more richly configured, more services, etcetera, attached to that.

That's the path. There's storage, deployment services, pro support, our consulting services, networking, so in the entire basket of the solution.

But it is a competitive environment out there. So, we'll continue to maximize our opportunity.

Yes, so modest growth in traditional, stronger growth in AI-enabled servers, and an opportunity with storage as the year progresses. Thanks, Wamsi.

We'll now take our next question from Samik Chatterjee with JPMorgan.

Hi, thanks for taking my question, and Yvonne and Jeff, thanks for all the comments. Yvonne, maybe this is more for you. Just how should we think about the higher memory costs playing through the gross margins, particularly in the fourth quarter itself that you reported? And then as we think through fiscal 2025, are the headwinds more in the sort of early quarters? And how much of that is sort of baked in in relation to a headwind for the fiscal 2025 guide that you gave for 100 basis points moderation and gross margin? Thank you.

Thanks. We have taken into account all the information that we have available and have embedded that into the guide, right? So we are expecting it to be an inflationary environment going forward, and we will price that to the best of our ability in the market. Obviously, it's a competitive market. So the guide embeds those expectations. And, I don't know if Jeff, there's anything else you would add to that.

Not at all. Well, we know we have planned that into the guidance that we provided both for the quarter and the year.

And how we're pricing deals.

Absolutely.

We have flexibility to it, and we're doing what we need to do to maximize our profitability.

Good. Thanks, Samik.

And we will now take our next question from Amit Daryanani with Evercore.

Thanks for taking my question, and congrats on a nice set of numbers here. I'll speak to the AI team, because that seems to what matters right now. And so, Jeff, as you think about sort of the AI backlog of 2.9 billion that you're sitting on, how do you think about that converting to revenue? Sort of what's the cadence to convert that to revenues as you go forward? And then as you folks have talked about this mid-teens growth in ISG, could you maybe parse out and tell us how much you think will be storage versus traditional servers versus what is going to be driven by the AI servers for the whole fiscal 2025? Thank you.

Well, Amit, there's no easy answer to your question, because the backlog is a mixed array, as I mentioned earlier, of H100s, H200s, H800s, as well as MI300Xs, with varying supply commitments and varying delivery commitments, as well as converting new demand of this five-quarter pipeline that I just mentioned. We believe we will ship more in Q1 than we shipped in Q4. As we look forward in our annual guidance, Yvonne [ph] has our best estimate of our demand and fulfillment of that demand that we've put into the annual guidance. To be able to parse it down in more detail, we have a product transition that's in front of us that we have to work on, H100, H200 to be specific, and we're taking orders on the new stuff as well as converting the current pipeline on the current product, the XC9680, with H100s in addition. So that's what we're working through. You might have seen our lead times have improved. That's reflective of the H100, and our lead times from the other parts are certainly longer, and that's what we're working our way through when supply commitments and as the demand comes in. I hope that was helpful.

Yes, I might add, from a traditional server standpoint, we're expecting modest growth, so growth in the upcoming year. AI servers, certainly a very strong growth, especially from a year-over-year standpoint. And then storage, will lag a bit, but we expect tailwinds as the year progresses in the storage portfolio.

That's perfect. Thank you very much.

We will now take our next question from Krish Sankar with TD Cowen.

Hi, thanks so much for taking that question. This is Steven [ph] calling on behalf of Krish. Jeff, if I could, I wanted to double-click a little bit on the storage business. During the January quarter, just given the better-than-seasonal strength there, can you talk about whether that was driven by sort of the early wave of follow-on AI storage demand, following several quarters of AI server demand, or is that coming from traditional storage demand? And secondly, sort of looking out here in the near term, I guess when we look at your PowerStore and PowerScale products, which part of the portfolio are your AI-focused customers spending more of their CapEx dollars on? And any thoughts on, for every dollar an AI server is being spent, is it like $0.50 or $0.75 or about another dollar of incremental AI storage spending for the down line?

Sure, let's see if I can unpack that question into a few answers. So we look at the demand that we referred to, which was beyond normal seasonality. We had year-over-year demand growth in the unstructured space, ECS, as well as PowerScale. They grew quarter-over-quarter and year-over-year on a demand basis. Those are generally good indicators, as I mentioned earlier, around AI file and object, which are the data classes that generally feed the AI engines. So when I think about AI and the now new products that I mentioned earlier with better read and write performance, better coherency performance in these complex workloads, better density, the 710 era, that’s F710 to be specific, and F210 on PowerScale, and the object scale XF960, those are the types of products that go into these AI workloads. Our progress in traditional storage was good too. We were ahead of our normal seasonality, what we’ve expected from Q3 to Q4 across our traditional storage business. Although we commented this in our talking points, it was down year-over-year, but better than we expected across mid-range, across our data protection products and our high-end storage products. And then if I think long-term going forward, as we look at the opportunity, and again, we referenced the $152 billion in our web deck, but we've done some analysis that's available out in the public domain, but we're looking at an opportunity where every dollar that is for a AI server, GPU server, there's $2 to a growing $3 of professional services around that, networking around that, storage around that. I won't parse it down specifically, but what was really important is there's a drag that the opportunity in the marketplace continues to grow, not only around the computational asset itself, but the network fabric that it's needed, the storage subsystem to feed it, and then ultimately the professional services to help customers deploy it, but more importantly, figure out where their data is, how to prepare the data. And then ultimately, one of our additional value propositions across that whole spectrum is a financing arm, from the ability to provide the infrastructure of all types, the ability to provide services around that, and then the financing around it, we believe is very much part of our differentiation in the marketplace, particularly as this scales to the enterprise.

Okay, thanks for your question, Steven.

And your next question comes from the line of Steven Fox with Fox Advisors.

Hi, good afternoon. I guess, Jeff, just to follow up on that, I understand the traditional lag between storage and servers, but it seems like based on everything you said, there's a chance that storage continues to have a little bit more momentum near-term relative to servers. I guess, what am I missing in that, I guess, between going from inference to production type of workloads and seeing some of that extra two to three dollars? Like, why wouldn't we expect better server growth, rather better storage growth quicker this fiscal year? Thanks.

Well, we believe we reflected that in our guidance for the year in ISG. The opportunities as the richer datasets that are beyond text, text today isn't very data intensive and can be compressed quite efficiently. As we go to richer data structure, data sets, this unstructured data opportunity exists as we move towards inference and in production. So that's the opportunity, to be able to call the rate of which enterprise will deploy AI at scale. It's all upside from my point of view, that we are literally in the early innings of enterprises deploying and moving from proof-of-concept and understanding this helps them drive a massive productivity inside of their enterprise and to allow them to really disrupt how they bring their products and service to the marketplace and how they serve their customers. Just like we are internally, many customers are going through understanding that and building their agendas. And this is a multi-year cycle. We believe that's the opportunity here. We've said publicly the productivity benefit alone is a once in a generation or once in several generation productivity uplift. And then the ability to think about how you build products and build your services to serve your customers. There's tremendous capability here that we believe enterprises are in their early characterization and understanding. And it's a long deployment cycle that we believe will benefit from and that we're leading the industry in.

That's helpful.

Thank you for the questions, appreciate it.

Of course.

We will take our next question from the Asiya Merchant with Citigroup.

Hey, thank you for very much for taking my question. Great results by the way. Just a quick question. I know you guys refreshed sort of your AI cam as part of this presentation. Just the questions that I get from investors, as you think about the 150 billion cam that you guys are highlighting now in 27, given Dell's share in storage, obviously your server, mainstream server share and overall share cam in servers. How do you guys think about your share in this 152 billion market by 27? Should we assume the share that you guys have now for servers and storage translates itself into the 150 billion share cam equivalent? Thank you.

Well, that's an interesting question. The inside baseball view here is we are leading the market and we continue to expect to lead the market with our broad capabilities going forward. I believe it's reasonable and how we think about this internally that we have our target set on having a larger percentage of this market than we do in our traditional marketplaces. That's inclusive of the PC. I think one of the things again I think it makes us special and different here we can reach a large set of customers from the smallest businesses in the world to the largest multinationals in the world. We can service the CSPs. We can bring them the hardware, the GPU servers, in the future our AI PC so all the way out to the edge. We have a broad range of network fabric. We have the storage portfolio that's unmatched in the industry. Our 30 plus thousand service organizations with its service organization with the consultant and professional services organization that we have servicing in 180 different countries allows us incredible breadth to reach customers to deploy this gear wherever they might have it. The partners that we have with our DSIs and our go-to-market allow us further reach. So we kind of think of it that way that this is a market that's developing really aligned with the strengths of our company and allows us to extend our model in a very differentiated way to access this marketplace in a different in a differential manner. Not to mention I won't be shocked I said this that I think our engineering capabilities here are pretty unmatched and this stuff is really hard to tune these models to build clusters to get every ounce of performance that you're paying for is real engineering work and we believe we have the engineering scale to help many customers do this.

Great, thank you.

Welcome.

And we will take our next question from Simon Leopold with Raymond James.

Thanks for taking the question. I wanted to see if you could give us a little bit of insight from your perspective of what's going on in various verticals or geography. So we've really been sort of tackling things sounding a little bit better on traditional and storage but I'm just wondering if there's any nuance as to where it's coming from either market verticals, market geographies, what's getting better? Thank you.

Simon was that an AI specific question or broadly across the business?

Yes, broadly across the business. I really try to get a sense of what's influencing the business most apart from this focus on AI.

Well sure, I'll try to clear with that. Yvonne will help me along the journey here. We talked about PCs is clearly a cycle where there's caution. You've seen that reflected in our performance and our upcoming guidance. So PCs isn't an area where we're seeing the upside yet. Do I expect the PC market to be bigger in calendar 2024 than 2023? Yes. Do I think the PC market is likely bigger in the second half of 2024 than it is in the first half? Absolutely so. Hence our remarks that we believe the opportunity in PCs is second half driven. That is primarily a result of an aging install base. It's never been bigger and older than it is today. We have a version of Windows that's retiring and we have hardware enabled AI PCs with an application base coming that should make it an exciting opportunity to own an AI PC. So let's start how that one plays out. We talked about traditional servers. There's momentum there. Three consecutive quarters of sequential growth and demand. First quarter in a long time of year-over-year demand growth. We exit with good momentum. We tried to reflect that in our guidance. That is in all geographies. Storage, better than we planned. It was good to see that was across the unstructured products as I mentioned that actually grew demand year-over-year and quarter-over-quarter. And our mid-range data protection class products and our high-end products that perform better than we expected on a quarter-over-quarter basis. Yvonne reflected that in our guidance. That uplift in Q4 comes down in Q1. That's one of the challenges we have when we talk about the storage mix is changing in Q1 over Q4. And then there's just the tremendous uplift with AI. That is clearly the opportunity. It's large and we believe we're disproportionately participating in it. And it's an exciting category and that's driving tremendous momentum for us. Yvonne would you?

I think you covered it well. We're expecting, really growth across the portfolio and across the globe as the year progresses.

Yes, and then clearly, Simon, from a vertical standpoint, small business, medium business starting to come back, public has been strong this year, federal has been strong, and the education business has been strong. What we're really waiting on is that large corporate, global, multinational enterprise business. And it's natural, I think, for them to be a little bit cautious given the macroeconomic, geopolitical, and interest rate environment that we found ourselves in over the last several quarters. So that's the verticals that we're really looking forward to come back later this year. And that's kind of a sweet spot for Dell from a customer standpoint. So I appreciate your question.

And we'll take our next question from Ben Reitzes with Melius Research.

Hey guys, thanks a lot. Jeff and Yvonne, how confident are you that you're going to get enough GPUs to grow from about a $1 billion level in AI servers in the first quarter? And then, Jeff, if you don't mind, can you just give us some more color on what you're excited about? I mean do you feel like the H200 is a multi-quarter cycle? The B100, do you feel like you're going to get them and be able to drive that into 2025? And any color on AMD and your early momentum there would be appreciated. Thanks a lot.

Hey, Ben, let me try to work my way through the -- look, it's our job in the Dell supply chain to get the supply that is aligned with our demand. I think there are others that commented, I'll make our comment, the demand for these things is in excess of the supply. That continues certainly into next year. We're doing everything we can to get as much of that as we need for our customers. The methodology and allocation hasn't materially changed. We understand that, we're working that, and we'll continue to do so. I like what we've been able to accomplish thus far. I like our view with what I know at this moment in time for calendar 2024, fiscal 2025. I'd also tell you it's a little more complex this year. Last year is basically the H100 show. This year, I think I rattled off 4 different variants, and there's a transition associated with that. Some customers will more rapidly move to that than others. We have to manage through that, and it's reflected in our pipeline and our pipeline conversion, and ultimately, our backlog and what we call inside the company are our delivery date schedules of what commitments we've made to different customers. We understand that. We know when we need the parts, we work through that. This easily continues next year. Obviously, any line of sight to changes that we're excited about what's happening with the H200 and its performance improvement. We're excited about what happens at the B100 and the B200, and we think that's where there's actually another opportunity to distinguish engineering confidence. Our characterization in the thermal side, you really don't need direct liquid cooling to get to the energy density of 1,000 watts per GPU. That happens next year with…

All right. Appreciate that question. We've got a very tight reporting cycle with some others in the space. And so we're going to take one last question, and Jeff is going to do a quick close. Appreciate everyone joining.

We will now take our final question from Michael Ng with Goldman Sachs.

Hey, good afternoon. Thanks for squeezing me in. I just had a question on the full year guidance. Can you talk about how you're thinking about the segment margins relative to their respective long-term ranges and any swing factors that may cause performance towards the higher end or the lower end? Thank you.

Sure. Thanks, Michael, for that. We are, as we think through the full year guide, we are, as I talked about, thinking of not only the inflationary component cost environment, but the more competitive environment that we've been seeing. We are expecting, we've talked about the dilutive rate impact within ISG over our AI-optimized servers. And so, as we play that through, we're looking to have better performance holistically for at a company level, but I think it will be different by quarter, and especially with the mix we're seeing from an AI standpoint. Jeff just talked about all of the variants that are at play. And so, expecting, continued or expecting improvement as the year progresses from a margin standpoint, but it'll be quite dynamic with the component cost environment and the competitive environment.

So with that, let me wrap up the call. We clearly have AI momentum. Whether engineering, services and financing expertise, we are well positioned to continue to grow. And more broadly, we expect to return to growth across ISG and CSG for the year, led by ISG growing in the mid-teens. We're pretty excited about that. With that comes solid cash generation that you would expect us to return to our shareholders. Thank you for joining us today.

This concludes today's conference call. We appreciate your participation. You may disconnect at this time.