Good afternoon and welcome to the Fourth Quarter Fiscal 2024 Hewlett Packard Enterprise Earnings Conference Call. At this time, all participants will be in a listen-only mode. We will be facilitating a question-and-answer session towards the end of the conference. As a reminder, this conference is being recorded for replay purposes. I would now like to turn the presentation over to your host for today's call, Paul Glaser, Head of Investor Relations. Please go ahead, sir.

Good afternoon. I am Paul Glaser, Head of Investor Relations for Hewlett Packard Enterprise. I would like to welcome you to our fiscal 2024 fourth quarter earnings conference call with Antonio Neri, HPE's President and Chief Executive Officer and Marie Myers, HPE's Chief Financial Officer. Before handing the call to Antonio, let me remind you that this call is being webcast. A replay of the webcast will be available shortly after the call concludes. We have posted the press release and the slide presentation accompanying the release on our HPE Investor Relations webpage. Elements of the financial information referenced on this call are forward-looking and are based on our best view of the world and our businesses as we see them today. HPE assumes no obligation and does not intend to update any such forward-looking statements. We also note that the financial information discussed on this call reflects estimates based on information available at this time and could differ materially from the amounts ultimately reported in HPE's Quarterly Report on Form 10-K for the fiscal year ended October 31, 2024. For more detailed information, please see the disclaimers on the earnings materials relating to forward-looking statements that involve risks, uncertainties, and assumptions. Please refer to HPE's filings with the SEC for a discussion of these risks. For financial information, we have expressed on a non-GAAP basis. We have provided reconciliations to the comparable GAAP information on our website. Please refer to the tables and slide presentation accompanying today's earnings release on our website for details. Throughout this conference call, all revenue growth rates, unless noted otherwise, are presented on a year-over-year basis and adjusted to exclude the impact of currency. Finally, Antonio and Marie will reference our earnings presentation and their prepared comments. With that, let me turn it over to Antonio.

Thank you, Paul, and thank you all for joining us today. Before I share my comments on our quarterly and yearly performance, I would like to provide an update on the Juniper Networks acquisition. We have received approvals from key geographies around the world, including the European Union, UK, India, South Korea, and Australia, which have given unconditional clearance and see the competitive benefits of the transaction. In the United States, we are engaged with the Department of Justice, and we expect the review will continue into the upcoming calendar year. We anticipate the deal will close in early 2025, within the previously stated timeframe. Both HPE and Juniper continue to believe the transaction will enable us to provide a complete portfolio of modern, secure networking solutions that offer essential foundations for both Hybrid Cloud and AI. The combined companies' enhanced ability to compete and innovate will fundamentally improve the networking industry. This transaction will also strengthen U.S. National Security interests by advancing HPE's position as a strong U.S. innovator among global technology companies. Turning to results, we had an exceptional fourth quarter to cap off a strong year. In actual dollar terms, we generated a record quarterly revenue of $8.5 billion, up 15% year-over-year, exceeding $8 billion for the first time in our history. Our results reflect the continued adoption of HPE GreenLake and the acceleration of our revenue growth in AI. Q4 and fiscal year 2024 results exceeded our expectations for revenue, diluted and net earnings per share, and free cash flow. We drew sequential revenue growth across each of our segments, a continuation of the positive momentum we saw throughout the year across our business. Q4 constituted our third consecutive quarter of improved year-over-year growth rates in revenue, non-GAAP operating profit, and non-GAAP diluted net earnings per share. Contributed significantly to our performance was record server revenue of $4.7 billion, up 31% year-over-year, marking our third consecutive quarter of double-digit growth. Sequentially, AI systems revenue was up 16% to $1.5 billion, exiting fiscal year 2024 with $6.7 billion in cumulative orders since Q1 of fiscal year 2023. After the close of Q4, I am pleased to share that our AI systems demand remains strong. We have received new orders bringing AI systems backlog to over $3.5 billion. Our traditional server business also continues to reflect improving market dynamics, benefiting from our third consecutive quarter of year-over-year double-digit orders growth. Hybrid cloud revenue grew 18% year-over-year and 21% sequentially, resulting in revenue of $1.6 billion, with increasing revenue for HPE Private Cloud and continued growth in HPE Storage. We are seeing customers like Lupin Limited, a large Indian pharmaceutical company, repatriate workloads from the public cloud to enhance their data security amid regulatory and compliance requirements. Customer adoption of our HPE Alletra Storage MP solutions continues to rise at an accelerated pace. Since launch, we have sold approximately 3,000 systems. Miami-Dade County, the seventh most populous county in the United States, implemented HPE Alletra Storage MP to consolidate an existing storage footprint to lower TCO and improve performance and sustainability. Our Intelligent Edge business achieved its third consecutive quarter of orders growth, reflecting our expectations for an improving demand environment. We are particularly pleased with the double-digit year-over-year orders growth that we saw in data center networking, an important growth market for our HPE Aruba Networking business. HPE Financial Services financing volumes of $2.1 billion rose to an all-time high this quarter, driven by strong demand for HPE GreenLake and AI Financing. It is clear customers need more investment capacity to deploy AI or to accelerate the adoption of Hybrid Cloud. Our record-breaking revenue performance in Q4 resulted in record profitability with a non-GAAP operating profit of $938 million, translating to a non-GAAP operating margin of more than 11%, a 110 basis points increase sequentially. As a result of our exceptional Q4 performance, fiscal year 2024 revenue growth topped 3% year-over-year, exceeding $30 billion as we added more than 9,000 new customers across the portfolio. Combined with our disciplined operating expense management, which accelerated in the back half of the year, we generated a record-breaking $2.3 billion in free cash flow, exceeding our guidance of at least $1.9 billion for the year. We closed the year on a strong note, exceeding our full-year commitments for revenue, diluted net earnings per share, and free cash flow. We are very pleased with our results and excited about the opportunities ahead for HPE. It is clear our strategy is working. We have a tremendous set of assets, including extensive solutions from edge to cloud, enabling us to meet our customer needs across AI, networking, and hybrid cloud. Providing a full stack of products and services clearly differentiates us from our competition and accelerates value for our shareholders. In Q4, we continued our investment in innovation, which further enhances our product portfolio and positions us to capture additional market share. AI is clearly transformative for our customers, and HPE is positioned to lead in the next wave of innovation. At our recent AI day, we announced the industry-first, 100% fanless direct liquid cooling architecture, a critical capability for customers to leverage the next generation of direct liquid cooled GPUs and CPUs, while facilitating peak performance as they manage increased energy densities. This industry-first architecture is unique to HPE and results from decades of experience in liquid cooling technologies. Two weeks ago, at SC24, we announced our newest 400 gigabits HPE Slingshot Direct Liquid Cool networking fabric products, engineered to support both generative AI cluster workloads and exascale supercomputing. These innovations are enhancing the performance of our AI systems and supercomputing product lines, differentiating us from the competition. At SC24, we also announced that HPE has delivered the fastest verified supercomputer in the world to the U.S. Department of Energy's Lawrence Livermore National Laboratory. El Capitan is not only the world's fastest supercomputer at more than 1.7 exaflop, but it is also among the most energy-efficient in the world. HPE now has deployed seven of the top ten fastest supercomputers in the world, including numbers one, two, and three on the list. We also continue to innovate to help accelerate enterprise adoption of AI. Since launching HPE Private Cloud AI, we have expanded our collaboration with Deloitte to help businesses of all sizes deploy AI solutions tailored for their industry-specific use cases such as C-suite AI and many others. In addition, we introduced the Unleash AI Partner Program to grow our ecosystem and expand customers' ability to address their AI use cases with HPE Private Cloud AI. While we are still in the early days, interest is strong with hundreds of customers in the pipeline, with many compelling proof-of-concept initiatives underway. We closed our first deals during Q4, including RWE, a leading company in the field of renewable energy, which selected HPE Private Cloud AI to unlock insights from weather data. Customers are also asking us to help them simplify their VMware private clouds and optimize their virtualization costs. At HPE Discover Barcelona two weeks ago, we launched HPE VM Essentials, which enables customers to manage their virtualization states across HPE VMware and many others. We have built on our recent acquisitions of Morpheus Data and OpsRamp, giving customers operational flexibility and allowing them to no longer be locked into a single virtualization vendor. With HPE VM Essentials, they can achieve up to five times lower TCO. As a part of our HPE VM Essentials, we also provide an enterprise-grade open-source KVM virtualization solution. This allows customers to dramatically reduce costs while increasing their flexibility to innovate across a full suite of hybrid cloud operations capabilities in an on-premises multi-stack and multi-cloud public environment. In storage, we continue to invest in our multi-protocol HPE Alletra Storage MP platform as we transition our storage portfolio to an AI-driven, cloud-native, and disaggregated architecture. Our new HPE Alletra Storage MP X 10000 is a revolutionary new high-performance object storage designed for AI exabyte scale and optimized for high-speed unstructured data lakes with rapid restore for backup and recovery. Our AWS S3 compatible object storage interface and deduplication support up to 20 times data reduction and streamline integration with any available backup solution in the market. With HPE Alletra Storage MP X 10000, customers can achieve up to six times faster object storage performance compared to competitor solutions in the market. Finally, our innovations in the Intelligent Edge are helping us to advance HPE Aruba Networking Central with AIOps copilot capabilities built into our HPE GreenLake cloud. During the quarter, we announced two new solutions to enhance the networking operators' experience and security for our customers. The first is the integration with HPE OpsRamp to monitor third-party devices. We also introduced a behavioral analytical-based network detection and response capability, where we are leveraging network and telemetry to train AI models to monitor customer IoT devices. We have an important place in the market, as a leading technology innovator. I am proud that HPE team members around the globe bring our innovations to customers every day to help them modernize their IT infrastructure and transform for the better. I am very pleased with our exceptional fourth-quarter results and the resulting outperformance in several of our full-year commitments to our shareholders. Our strategy is well aligned to the mega trends reshaping networking, hybrid cloud, and AI, and our unique product portfolio is well positioned to capture new customers and accelerate value for our shareholders. We expect the pending acquisition of Juniper Networks to further enhance our portfolio, providing customers with complete edge-to-cloud solutions. I am extremely excited about the significant opportunity we have in the coming fiscal year to drive increased value for our shareholders. I am optimistic about what we can achieve and look forward to the year ahead. Now let me turn the call over to Marie, who will provide more details about our Q4 results and guide for the first quarter.

Thank you, Antonio, and good afternoon. We ended fiscal 2024 on solid footing and exceeded what we said we would do. We achieved record quarterly revenue, delivered solid profitability, and generated free cash flow above our guidance. We executed well in a dynamic environment, growing revenue sequentially in each segment as investments in AI are leading to infrastructure refreshes. In Q4, we also maintained disciplined cost management and improved non-GAAP operating profit. A few highlights from our 2024 results: We grew AI systems revenue more than 150% to $4.1 billion and met our server non-GAAP operating margin target. We continued our product transition within storage and ended the year with Alletra MP accounting for a meaningful portion of total storage orders. Our transition to more software-defined storage will drive a greater mix of higher-margin recurring revenue over the long-term. Lastly, in Intelligent Edge, we rightsized our cost structure as we navigated a digestion period. We grew fiscal 2024 revenue 3% to $30.1 billion exceeding the high-end of the outlook range we provided in September. Non-GAAP diluted net EPS of $1.99 and free cash flow of $2.3 billion both came in above our revised outlook ranges. In total we returned $826 million to shareholders via dividends and share repurchases. Overall, our results reflect focused execution and improving demand as customers implement AI strategies. Let me dive into the details of the quarter. We delivered record quarterly revenue and our second highest non-GAAP diluted net EPS, both of which came in above the high end of guidance. Total revenue grew 15% year-over-year and 9% quarter-over-quarter to a record $8.5 billion. Growth in the quarter was led by strong conversion of AI systems backlog, refreshes in traditional compute, better than expected performance within Hybrid Cloud, and a continued recovery in networking. We are pleased to report non-GAAP diluted net EPS of $0.58 above the high-end of guidance despite dilution from the issuance of our convertible preferred securities in September which was not factored into our outlook. ARR grew 48% year-over-year to $1.9 billion, nearly doubling since Q1 2023 primarily driven by HPE GreenLake. We added approximately 2,000 new HPE GreenLake customers during the quarter, ending the year with approximately 39,000 unique customers. I am happy to report continued demand for our differentiated AI system offerings, which resulted in strong double-digit sequential revenue growth to $1.5 billion. This record contribution from AI systems revenue, combined with a lower mix of Intelligent Edge, drove gross margin down 390 basis points year-over-year and 90 basis points quarter-over-quarter to 30.9%. Non-GAAP operating expenses decreased 9% year-over-year as reported and were down $5 million quarter-over-quarter, as we focused on streamlining our cost structure and closely managed discretionary expenses. Non-GAAP operating margin was 11.1%, up 140 basis points year-over-year and up 110 basis points sequentially. Strong profitability rolled through to free cash flow, which exceeded our expectations and totaled $1.5 billion. Fiscal 2024 free cash flow was $2.3 billion, our highest ever for the full year. GAAP diluted net EPS of $0.99 and non-GAAP diluted net EPS of $0.58 were both above guidance, benefiting from better than expected OI&E and expense management. GAAP EPS benefited primarily from a lower than previously expected tax expense on our aggregated H3C dispositions. Non-GAAP diluted net EPS excludes the gain we recognized on the partial sale of our H3C investment at $162 million in net costs, primarily from stock-based compensation expense, acquisition and other related charges and amortization of intangibles. Now let's turn to the segment results. Our server business was a key driver of record quarterly revenue and grew double digits year-over-year for the third consecutive quarter. Server revenue achieved an all-time high of $4.7 billion, up 31% year-over-year and up 9% quarter-over-quarter, with sequential growth in AI systems and traditional servers. The traditional compute business continued its momentum during the quarter and grew sequentially for the fourth consecutive quarter, driven by ongoing refreshes to our Gen11 server products, which carry higher AUPs. Adoption has been strongest in North America and Europe, as customers are investing in new workloads. In the fourth quarter, Gen11 accounted for more than two-thirds of our core compute revenue and contributed to AUP growth. In AI systems, we continue to grow the business to new highs. AI systems orders during the quarter were in line with our expectations at approximately $1.2 billion. However, we had an order de-book in Q4, leaving our net orders for the quarter at approximately $500 million. Subsequent to the end of the quarter, we have received orders that bring our current backlog to over $3.5 billion. As we have mentioned before, AI systems orders can be lumpy and this is an example of that. Fourth quarter server operating margin was 11.6%, up 150 basis points year-over-year and up 80 basis points quarter-over-quarter. Moving to Hybrid Cloud, we grew revenue 18% year-over-year and 21% quarter-over-quarter to $1.6 billion, materially exceeding our guidance of a slight revenue increase. Revenue growth was led by Private Cloud and the continued ramp of Alletra MP. During the quarter, we received our first orders for Private Cloud AI as we target a growing pipeline that includes corporations across verticals and regions. Interest is strong in manufacturing, education, and financial services. We have also deployed Private Cloud AI internally and are moving use cases from the public cloud due to better cost performance and compliance. In storage, we are balancing investments in owned IP products against market trends. Alletra MP remains ahead of our expectations and is the fastest ramping storage product in our company's history. Keep in mind, these sales carry a higher portion of deferred software and services revenue, which takes longer to translate to the P&L but benefits margins long-term. Hybrid Cloud operating margin was 7.7%, up 390 basis points year-over-year and up 260 basis points sequentially, predominantly due to better OpEx controls. Now on to Intelligent Edge. We believe the business remains on a path of recovery and customers have largely digested excess inventories. Total Intelligent Edge revenue was $1.1 billion, down 20% year-over-year and essentially flat quarter-over-quarter. Sequentially, we saw growth in services, WLAN products, and software, partially offset by declines in switching and campus. Importantly, we are seeing more large deals in our pipeline, giving us confidence that demand is improving. Keep in mind, we were still benefiting from the drawdown of networking backlog in Q1 of fiscal 2024. Operating margin of 24.4% was down 270 basis points year-over-year but up 200 basis points quarter-over-quarter due to lower OpEx in line with our expectations. Lastly, Financial Services. Our Financial Services business generated $893 million of revenue, up 2% year-over-year and up 1% quarter-over-quarter. Financing volumes increased 41% year-over-year to a new all-time high of $2.1 billion. Our Q4 loss ratio remained steady near 0.5% and return on equity totaled 17%. Operating margin was 9.2%, up 120 basis points year-over-year and up 20 basis points quarter-over-quarter. Moving to cash flow and capital allocation. We generated strong operating cash flow of $2 billion and free cash flow of $1.5 billion in the quarter, both of which exceeded our expectations due to higher revenue and increased collections. For the full year, free cash flow was a record $2.3 billion, above our guidance of $1.9 billion. Q4 cash conversion cycle was a negative 12 days, down 8 days from Q4 '23 and down 16 days from last quarter. Inventory ended the year at $7.8 billion, up 2% quarter-over-quarter due to the nature of our AI systems business. We are focused on reducing inventory during fiscal 2025 as we convert AI systems backlog and grow our storage business. During Q4, we returned $169 million via dividends and $50 million via share repurchases to common shareholders, respectively. We returned a total of $826 million during the full year. Moving to our outlook for fiscal Q1 2025. As Antonio said, we expect to close the Juniper transaction in early 2025, at which time we will provide combined company guidance for fiscal 2025. However, let me provide some high-level thoughts, as to how we are thinking about the upcoming year. Overall, customer conversations indicate higher IT spending in 2025, with multiple tailwinds that should contribute to revenue growth. We expect continued recovery in traditional compute and growing adoption of AI systems by enterprises and sovereigns, although we expect orders to remain competitive and lumpy. In Hybrid Cloud, we are beginning to see customers accelerate digital transformation projects to execute on AI strategies. And in networking, we expect demand will modestly recover throughout the year. For the first quarter, we expect year-over-year revenue growth to be in the mid-teens. On a sequential basis, this is in line with normal seasonality. We expect server revenue to be down quarter-over-quarter. We expect flat to modest growth sequentially in traditional compute and lower AI systems contribution following a very strong quarter. Server operating margin will be closer to 10% to 11%, as customers navigate the transition to next-gen GPUs. In Hybrid Cloud, we expect a sequential decline in the first quarter due to stronger-than-seasonal growth in Q4, with operating margin in the mid-single-digit range. And in networking, we are still managing prolonged sales cycles and expect the business to be around historical seasonality of flat sequential growth. We expect Intelligent Edge operating margin to be in the low 20% range due to mix. Gross margin will benefit from a more favorable revenue mix, and we expect a modest sequential decrease in OpEx. OI&E is expected to positively contribute to the bottom line with higher net interest income more than offsetting $0.02 of headwinds associated with the cost of our Juniper Financing. Overall, we estimate Q1 GAAP diluted net EPS to be between $0.31 and $0.36 and non-GAAP diluted net EPS to be between $0.47 and $0.52 based on 1.4 billion diluted weighted average shares outstanding, including $76 million of dilution from our convertible preferred securities. For free cash flow, we typically consume cash in the first quarter. We intend to procure components needed to meet current and future AI systems demand while continuing to manage inventory. For Q1, we intend to buy back shares of common stock at a similar pace to Q4. We remain committed in the long-term to our balanced capital allocation framework, our dividend, and our investment-grade rating. In summary, we delivered strong Q4 results and ended fiscal 2024 well positioned to drive profitable growth and generate free cash flow that we can reinvest into the business while also returning capital to shareholders. With that, I'll turn it over for Q&A.

Thank you. We will now begin the question-and-answer session. And your first question today will come from Wamsi Mohan with Bank of America. Please go ahead.

Hi, yes. Thank you so much. Congrats on the strong quarter and guidance, especially given the dilution from the preferred stock. As we look at your AI business, can you maybe give us some sense of how your AI pipeline is shaping up, given that the backlog levels kind of dipped in the quarter? And I know you made some comments about how it's backed up intra-quarter. But can you give us some sense of how the pipeline looks and what the composition of that could be? Thank you.

Yes. Thanks, Wamsi. This is Antonio. And good afternoon. The pipeline is a multiple of the current backlog which we shared as of a day ago, which is basically more than $3.5 billion. And inside our pipeline, there are four key segments of the market. Obviously, the biggest driver continues to be what I call segment one or model builders, hyperscalers as well as now the Tier 2, Tier 3 that are in the business to provide GPU capacity on demand on a per hour basis. So they continue to be the two biggest drivers. But what I'm really pleased with, and Marie and I have made those comments in our remarks, is the fact that we see now the enterprise AI pipeline continuing to grow steadily. There are hundreds of customers in that pipeline. The size of the deal will vary obviously because it's not the same size of the deal in the other two segments. But there are some very interesting large-sized deals in the pipeline, and they are doing proof-of-concept. But the positive news is that we made the announcement of the offer that co-engineered solution with NVIDIA in June, and we made it available only on September 9. So really, we had seven weeks to be able to collect orders. We already collected orders in enterprise AI and we already closed deals in enterprise AI. And two weeks ago, we made additional enhancements to the offer, particularly with a partner ecosystem, including Deloitte. So very pleased. This is going to be a growth driver in 2025, as we go forward. And then on the first segment, obviously, the transition to the latest GPUs will happen over the course of the next few quarters.

Okay, Wamsi. Next question please.

Great, thanks and congrats on the quarter. Maybe diving into gross margins. Can you talk about some of the puts and takes on particularly server margin this quarter and just kind of the weight of some of the XD servers versus El Capitan recognition? Or just some of the dynamics that play on gross margins would be helpful. Thank you.

Hi, Meta, good afternoon. It's Marie. And first of all, I'll just add I’m really pleased with the performance in the quarter. We were at 11.6%. If you think about it, we had our highest ever AI server revenue of $1.5 billion. In terms of the color and how to think about it, El Capitan was included in the quarter, so we did get the final acceptances. A couple of points to note: If you look at the mix inside server, we see traditional compute, particularly Gen11, accounting for about two-thirds of the mix so far to date, and that particularly has higher configurations, which are driving richer AUPs and obviously higher structural margins. And also, we've been really successful about passing over commodity costs. If you look at both the GPU servers, it is competitive, but you can see the revenue scale is helping us out there. And lastly, I think we've been really prudent with our cost controls, and all of that plays off in terms of our OpEx discipline.

But in addition to what Marie said, Meta, this was the third consecutive quarter of double-digit year-over-year orders growth in the traditional server. When I think about the opportunity ahead of us, there are just for HPE, 0.5 million units in the installed base that must be refreshed for several reasons: number one, they are doing very little work and consuming a lot of energy; number two, they are reaching or have reached the depreciation cycle. When enterprise customers think about deployment of AI, they need to free up space, power, and cooling to absorb this new system. This represents a big opportunity for us, both from a units perspective and obviously Gen11 comes with a different configuration, as Marie said, and then the services touch that comes with it.

Thank you, Meta. Next question please.

Thank you. I was hoping I could ask a two-parter on the AI service. First, can you just clarify that de-book comment that came in? It sounds like a $700 million de-booking of backlog. Was that a competitive loss, or did someone have double ordered or something else going on there? And then the second part, following on the gross margin. Can you talk a little bit about when you're looking at AI business, what metrics you are looking at? Do you have thresholds for gross margin or cash flow or something else that prohibits you from going after certain deals where maybe ODMs or lower gross margin OEMs would go? Thank you.

Sure, and thank you for the question. As we said before, orders during the quarter were in line with our expectations. In fact, we booked $1.2 billion of new orders in Q4. However, we de-booked a large order of $700 million during the same quarter because we had concerns with a specific customer. We pride ourselves on our strong control environment, and we continue to monitor and manage risk. We felt that particular order had a lot of risk, and we decided it was very prudent to de-book it and focus on other areas of the business. As we continue going throughout the next few weeks, up to yesterday, we ended up with a backlog now which is over $3.5 billion. So that's what happened; it had nothing to do with competition or anything else. We had a concern with a specific customer, and we decided it was prudent to de-book it.

Yes. And Tim, just to add on how we think about margin structure and AI systems, we have a framework that we use for our pricing, and it's absolutely our intention to remain disciplined both on cost and price as we pursue profitable growth. I think that has been our mantra. But obviously then, we're balancing those gross margin pressures with cost control, strategic buys, and you've seen that in terms of our pricing discipline. And I would add that we do see improving profitability over time as the market moves more to the two sectors that Antonio referred to, both in terms of sovereign and enterprise where we see services attaching, etc. So just use that as a way to think about the longer-term margin structure as well.

Thank you, Tim. Next question please.

Good afternoon. Thanks for taking my question. I guess if I just look at the corporate level, you've had a couple of quarters with gross margins down a fair bit year-over-year. I think it was down like 390 basis points this quarter. Could you just talk about what's driving this gross margin degradation for you folks? But it clearly looks like you're able to offset all of this with some really good OpEx control. Just talk about what's driving the gross margin decline? And then how low can you take OpEx at this point, given your expectations for revenue growth in the next fiscal year? Thank you.

Yes, no worries, Amit. Good afternoon. So on gross margin, for Q4, as you rightly said, it was 30.9% so we're down both on a year-on-year and quarter-over-quarter basis. If you step back and look at the overall revenue mix, perhaps one of the largest drivers is really just the lower contribution of Intelligent Edge revenue. In Q4, it was actually the lowest for the entire year. And obviously, we had a higher contribution inside of servers of AI systems revenue and product mix. That impacted gross margin. But despite that headwind, we actually grew gross profit dollars both year-over-year and quarter-over-quarter. Now going forward, as I mentioned in my prepared remarks, we do expect to see gross margin up modestly in terms of improved business mix, predominantly driven by the Intelligent Edge mix. But from a longer-term perspective, just two things to keep in mind. First of all, when we close Juniper, that will be a big driver and have a very positive impact on both gross and operating margins. We expect that 50% of operating profit going forward will come from Juniper. And secondly, as I mentioned earlier, we expect, particularly in the AI space, those higher margin opportunities as we move more into the adoption of sovereign and enterprise.

Thank you, Amit. Next question please.

Thank you for taking the questions. I think in your commentary on the outlook, you indicated that traditional servers would be flattish to even slightly up sequentially in the January quarter, which I think defies seasonality. So I just want to verify if I got that correct. Maybe if you could unpack what's happening in that part of the business. Thank you.

Yes, so this is Marie here, Simon. Yes, you did get that correct in terms of servers. In terms of traditional servers and the outlook on the business, really nothing's changed. We continue to see the momentum in that business. I think Antonio described it very well earlier when he mentioned two-thirds of the mix is already at Gen11 in traditional servers, and we see that continuing. So don't expect that to change fundamentally. But just remember, it's a pretty competitive environment out there, both for traditional servers and AI systems right now in the market.

Also, Simon, obviously, in addition to the traditional yearly seasonality, we are going back to the normal seasonality we used to have a few years ago when we had the COVID, and the recovery that happened after that. On the AI side, one-third or more than one-third of our backlog is Blackwell-related. You need time to convert that into revenue. That's why Marie mentioned the lumpiness of revenue conversion sometimes or the order intake. Notwithstanding, we are very pleased with the revenue we had in Q4. We are confident about the continued growth in 2025 as we transition the GPUs to this new type of silicon.

Thank you, Simon. Next question please.

Thank you for the question. Antonio, building on your previous comment, I am interested in the upcoming cycle for the Blackwell platform and your observation about the increasing backlog. Could you provide an update on the GB200 NVL, the rack scale system? What is HPE's status on shipping those system configurations, and when do you anticipate they will be shipped in volume? Thank you.

Yes. I think you're right, Aaron. In the segment one and two, call it, service provider, hyperscalers, and model builders. They tend to lead with the latest technology, and that transition is going to happen over 2025. We are working with the customers and NVIDIA as they become available, and we will be shipping those in volume in 2025. I would say, in the first half of 2025 is when you'll start seeing growth in that platform. In the sovereign space, I don't think that's the case; I think it's a mix of multiple configurations because they are different types of workloads. The enterprise will likely be an N minus 1 or 2, as they are less focused on Blackwell or Grace Blackwell, more about the simplicity of the deployment and the time to value.

Thank you, Aaron. Next question please.

Hi yes. Thank you. I'm not sure if you said it but perhaps you can just confirm, did your AI pipeline grow sequentially? And then on the Hybrid Cloud side, it was a huge jump sequentially, dramatically higher than your guidance as well and the biggest sequential increase we've ever seen. Was there any unusually large deal in there? I know you closed Morpheus also but I don't think that was really material. Can you add any color about whether there was anything unusual? Did you pull forward deals and hence you think next quarter is going to be seasonally weaker than usual? But again, there was an enormous differentiation relative to normal history in your own guidance. Thank you.

Yes, Marie, you want to take that?

Sure, Toni. Look, first of all, I'm really pleased with the performance of Hybrid Cloud in the quarter. Revenue was up almost 18% year-over-year and 22% quarter-over-quarter, so really strong growth. It was driven by both Private Cloud and the ongoing adoption of HPE Alletra MP Storage. On the investor deck, we had 39,000 customers on GreenLake. Our MP Storage is one of the fastest adoptions ever in the history of the company. Overall, really good top-line results, and frankly, pleased with the trajectory from a margin perspective as well; they are scaling the business and managing our cost structure. All that's paying off. The Q1 guide actually does continue some of the momentum on the margin. We expect that to be relatively sequentially flattish. Given the strong Q4, we do expect a modest sort of decrease in revenue which is more in line with the sequential on Hybrid Cloud.

Just to add a couple of things there, Toni, we now see the results of many quarters of hard work in Hybrid Cloud. Hybrid Cloud is led by the GreenLake platform plus storage plus all the ancillary services. Alletra MP Storage today is the fastest-ever follow ramp in the company's history, already at a $1 billion annualized rate. A portion of that revenue gets deferred because it's subscription for the software to the infrastructure. And that's why I'm excited with the focus of the platform, including the latest introduction with the Storage MP X 10000 because that addresses the AI needs at scale, particularly exabyte scale for unstructured data. Regarding the AI, yes, the pipeline grew quarter-over-quarter. As I said, it's a multiple of the current backlog at more than $3.5 billion, and the composition of the pipeline keeps shifting. I'm pleased to see that the enterprise side has grown rapidly on the back of the offer that now it's available for ordering for customers.

Thank you, Toni. Next question please.

Hi, thanks for taking my questions. If I can change gears here a bit on Intelligent Edge. You talked about the strong order patterns. But when I look at the revenue performance in the quarter, I know you were up modestly, but it did seem like overall from at least relative to some other peers that have reported, the sequential growth was a bit more limited relative to quarter-over-quarter increases here. So I mean, how are you thinking about the next year playing out? And when you look at trends, are they coming in as expected? Or are you seeing a bit more weakness than what you would have expected maybe 90 days ago? And within that portfolio, how are you thinking about where enterprises will spend more relative to their IT budgets? What are you hearing from them in terms of priorities within that portfolio? Thank you.

Absolutely, thank you for the question. As I said in my remarks, we had the third consecutive order growth in Intelligent Edge. But you don't see it fully translating into revenue which looks more flat. In fact, that's the case for even Q1 because the growth areas that accelerated are subscription based. So this is SD-WAN with SSE, called the SASE framework, had a very nice quarter. The second is the subscription services to HPE GreenLake Aruba Central, which is very important in the way you manage that infrastructure. We're now seeing customers placing orders for future quarters related to Wi-Fi 7. When you upgrade your access points, you also need to upgrade your campus switching. But today, I would say the one area that hasn’t yet fully returned to what we want to see is campus switching itself. Last but not least, data center networking using more intelligent features has had double-digit growth again. That's why I'm excited about the combination with Juniper Networks because it brings complementarity to that portfolio. I believe the market is recovering; we've had three quarters of growth. I argued networking has the biggest upside for HPE in '25 and '26.

Thank you, Samik. Next question please.

Great, guys. Thank you. Antonio, can you dig in a little bit into the de-platforming of the orders? You mentioned risk, but can you get into specifics in terms of what was the definition of risk? And how do you think about AI orders going forward? I know it's lumpy but just trying to get a sense for what was particularly risky about that order. And how should we think about that going forward? Thank you.

I mean, listen, we look at our customers from a variety of angles. Obviously, the ability to verify end users, the ability to fulfill the payment of the orders and risk associated with allocated components and the like. We felt that particular order had a lot of risk, and we decided not to fulfill it because of our stringent controls. I believe this was the right thing to do.

Yes. HPE has a very strong control environment. As we've said before, orders and backlog are subject to booking pushouts and cancellations prior to rev rec. So we maintain those tight controls.

Okay, thank you. Next question please.

Hi, thanks so much for taking the question. You sounded fairly constructive around IT spend, particularly heading into '25. So I'm just wondering what's changed if anything over the last three months mainly in terms of macro backdrop. And I guess, more specifically, have you seen any pickup or change in behavior post-election? Thanks.

Well, first of all, Matt, welcome to the community. Pleased to have you here. The macro environment versus a year ago has improved, no question whatsoever. There are unique areas where the customers are paying more attention. The focus on AI is clearly very high on the agenda. There’s focus on implementing a more flexible hybrid model because AI at the core is a hybrid workload and a data-intensive workload. Both of those spaces are areas where HPE has the right to play and win with a unique focus on innovation. Obviously, cyber continues to be very important, but also by geography, this varies a little bit. In server, we are on a cycle for modernization and improving efficiency of footprint and cost per workload. I talked about the TCO per workload and power consumption. There’s a lot of focus on sustainability, which was very obvious when I was in Barcelona a couple of weeks ago. We had the biggest conference ever in Europe with more than 4,500 customers all very keen to understand our solutions in the context of sustainability. Networking needs to catch up to the demands of AI; that's why we believe that the combination of HPE and Juniper is so important to drive that next wave of innovation. Networking will clearly be a topic for 2025 and beyond. When I speak to customers, which I do more than 50% of the time, AI is pretty much focused on the enterprise side. It is focused about business productivity and time to value. In our case, we have many, many use cases already deployed in production, which allows us to do some of the things that Marie talked about in efficiency and cost reduction. But we're still early, and that's the excitement—the opportunities are yet to come at a much larger scale. If I wrap my commentary about why we are delivering the performance we have delivered in Q4, I will use one word: innovation. Our strategy is an innovation-driven strategy that makes us more relevant, ultimately allowing customers to buy more from us, which increases value for shareholders. That for me is a testament that the strategy is working. In looking at these mega-trends and customer needs, we are uniquely positioned even with the pending Juniper acquisition to address those needs.

Okay, thank you. Operator, one more question, please.

Great. Thank you for squeezing me in. The enterprise services on the AI side of things; it looks like you continue to book services there on your orders. If you can double click on that, relative to where you were last quarter, what kind of services? Is that a growing percentage of your orders/revenues? And where is HPE winning as you look at those services pipeline as well? Thank you.

Thank you for the question. Our services orders related to AI went up quarter-over-quarter. The types of services customers are looking for can be defined as day 0, day 1, and day 2. Day 0 is where you help customers define the use cases and ROI. Day 1 is where you design and implement, and day 2 is to run it. HPE is uniquely positioned in all these three days. Therefore, we see considerable engagement upfront. The partnerships with companies like Deloitte are so important to reach more customers and bring a more business process-oriented approach. We also have many other conversations which you'll hear more about in the next few weeks. On the design and implementation side, this unique approach with HPE Private Cloud AI has proven to be the right value proposition because many enterprises don't have the time or expertise, and they want a partner to help them with that. Regarding runtime, many instances would not land in their own data centers, but rather what I call co-locations. HPE has three disposition enterprise stacks with our Private Cloud AI so that they can turn it on when they are ready to deploy their use cases.

Very good. That was our last question. Antonio, if you have a closing statement.

We are right on time, and I want to thank everyone for participating today. Again, very pleased with our results in Q4, capping off a very strong year. You can see the momentum in revenue and operating profit dollars. We did what we said. That's fundamentally the bottom line. We had record numbers there. I’m excited about 2025. We have an amazing set of assets that will continue to drive profitable growth and increase shareholder value. The pending Juniper acquisition will close in early 2025, and we are working collaboratively with the DOJ. Nothing gives me pause that would not happen. So if I don’t speak to you, happy holidays to you and your family, and we’ll reconvene in early 2025.

The conference has now concluded. Thank you for attending today's presentation. You may now disconnect.