Please note this event is being recorded. I would now like to turn the conference over to Shannon Cross, Chief Strategy Officer. Please go ahead. Good afternoon. I'm Shannon Cross, Chief Strategy Officer for HPE. I'd like to welcome you to our fiscal 2026 third 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 our business and the external factors affecting us 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-Q for the fiscal quarter ended July 31st, 2026. Figures used in verbal remarks are rounded for ease of discussion. For more detailed information, please see the earnings materials, as well as disclaimers relating to forward-looking statements that involve risk, uncertainties, and assumptions. Please refer to HPE's filings with the SEC for more detailed discussion of these risks. For financial information that we are showing on a non-GAAP basis, we have provided reconciliations to the comparable GAAP information. Please refer to the tables and slide presentation accompanying today's earnings release on our investor relations website for details. Throughout this conference call, all revenue growth rates, unless noted otherwise, are presented on a year-over-year basis. Unless otherwise noted, all financial metrics and growth rates discussed today are non-GAAP, and EPS refers to non-GAAP diluted net earnings per share. Certain financial information featured in the presentation today has been normalized to include Juniper Network's results as of the beginning of HPE's fiscal year 2025. Antonio and Marie will reference our earnings presentation in their prepared comments. We will also be disclosing records for certain financial metrics during the presentation. Please refer to our endnotes in the presentation while reading these statements. With that, let me turn it over to Antonio. Thank you, Shannon. Good afternoon, everyone. Our strategy is proving itself again this quarter. We deliver another set of record financial results, which demonstrates the durability of our profitable growth momentum and disciplined execution across the company. We exceeded all our company-wide financial commitments, achieving record results across revenue, gross margin, non-GAAP operating profit, and earnings per share. AI has become a multi-year growth driver, expanding demand across our HPE portfolio. Customer demand in the quarter accelerated across both business segments, with orders growing faster than revenues. We booked more orders than any prior quarter in our history, resulting in a record-breaking backlog for the company. Supply constraints continue to affect our ability to fulfill the increased customer demand. We are collaborating very closely with our partners to secure additional multi-year supply agreements. We are also providing our customers with alternative product configurations and deeper planning interlocks to better forecast supply availability. In fiscal Q3, HPE delivered record revenue of $12.2 billion, up 34% from a year ago. Our HPE revenue growth year to date has risen about twice as fast as it did over the same period last year. HPE non-GAAP gross margin was a record of 40%. We generated record non-GAAP operating profit of $2 billion, 2.5 t imes more than a year ago. Non-GAAP earnings per share was $1.11, another record, and the first time we achieved more than $1 in non-GAAP EPS in a single quarter. Our outstanding operating results translated directly into stronger cash generation, resulting in our highest free cash flow ever for a third quarter at $958 million. Last quarter, we updated our fiscal 2026 outlook and introduced our initial fiscal 2027 growth framework. Thanks to our record results, record orders, and record backlog, we are raising our outlook for both fiscal 2026 and fiscal 2027. Marie will discuss the details shortly. Before I hand over the call to Marie, I want to provide some observations about the market and our business segment performance. I also want to note an important milestone regarding our Juniper Networks acquisition. In August, a U.S. federal court approved our settlement with the Department of Justice, saying it serves the public interest. We are pleased with the outcome, which reinforces our confidence in the long-term value of bringing these two great networking portfolios together. A year after closing the Juniper Networks acquisition, our integration plan and cost synergies remain ahead of schedule. The business performance continues to strengthen through expanded innovation and strong execution. The enhanced ability to compete is already driving more innovative networking solutions for customers and higher profitable growth for shareholders. Order bookings and revenue for our networking products and services reached record levels despite supply constraints, which limited our ability to convert the higher demand into revenue in the quarter. Campus and branch had record revenue as customers modernized aging edge infrastructure and deploy AI-driven network operations. Orders were ahead of revenue, demonstrating the differentiation of our self-driving networks and the versatility across multiple cloud deployment models. Routing and data center switching demand accelerated in the quarter, with orders substantially ahead of revenue and our backlog at its highest ever. Our backlog reflects strong customer demand from hyperscalers and neo clouds for our routers, switching, and AI-driven operation software as they continue to increase their AI cloud CapEx infrastructure investments. Growth in our backlog shows strong customer demand is running ahead of available supply. We expect to convert more orders into revenue in Q4, which gives us even greater confidence in sustaining our networking growth in fiscal 2027. Today, we announced an expanded collaboration with Oracle to accelerate gigawatt-scale AI infrastructure. Oracle will deploy HPE Juniper Networking routers and switches across one of the largest AI cloud infrastructure build-outs. HPE is uniquely positioned to support Oracle with a network for AI portfolio, which is one of the most comprehensive in the industry. SASE and security also contributed to our growth. Our strong performance in firewall, SD-Branch, and Branch SRX reflects growing customer demand for networking and security that operate as one converged solution. I hope you will attend our upcoming Networking Investor Day later this month to hear more about how our networking strategy, innovation, and business momentum are giving us even greater confidence in the opportunity ahead. While our networking segment continues to strengthen through our thoughtful integration, our cloud and AI segment continues to perform exceptionally well in a very supply-constrained environment. We delivered record revenue, operating profit, and operating margin. AI is beginning to inflect beyond early proof-of-concept training deployments into a broader enterprise workflow transformation opportunity. Customers are increasingly investing in new agentic AI applications and AI inferencing, requiring accelerated computing infrastructure, secure data storage access, and enterprise-grade cloud management. Our comprehensive cloud and AI portfolio is perfectly positioned for this market inflection. We continued to experience strong demand across traditional servers, AI systems, storage, private cloud solutions, and GreenLake cloud services. The server product category drove the outperformance with high demand for traditional servers and AI systems. We saw strong demand from large enterprises, neo cloud service providers, and sovereign customers. We expect demand to remain exceptionally high as our pipeline remains multiples of our backlog. A fundamental shift in the server business is becoming quite clear. The way customers value their IT infrastructure is changing. Their focus is not just whether a server can run AI workloads, but also how it can enable entirely new business workflows using new AI applications. We are seeing AI-related enterprise initiatives receive higher levels of investment than traditional IT projects. There is more top-level executive engagement in making those investment decisions, including company boards, which are championing AI technology to unlock further business transformation potential. Storage had a standout quarter with record revenue. It benefited from our decision to focus on our own IP offerings by delivering a modern multi-data protocol platform for the AI era. Customers are beginning to evaluate whether the AI workloads can be run most efficiently with the best secure data management and the lowest cost per token. Organizations are still in the process of modernizing data storage environments while preparing for the next generation of AI-driven workloads and applications. They want data to be close to their AI infrastructure, and they want control over sensitive information. These trends are driving strong demand for our HPE Alletra Storage MP storage solutions. We are confident our comprehensive data storage value proposition will continue to accelerate this momentum in our storage business. Our Private Cloud AI platform allows customers to manage enterprise AI applications and AI agents while keeping control of data governance, security, and operations. Demand for PCAI is strong from enterprise customers that want to optimize the token economics of large-scale AI deployments on premises. That is rapidly scaling our order bookings and the size of our customer base. HPE GreenLake remains one of our greatest differentiators because it allows customers to manage infrastructure and software through a secure hybrid cloud operating model regardless of where traditional and new AI workloads reside. Customers are broadening their utilization of our HPE GreenLake cloud services, expanding their existing usage by consuming our new software and intelligent cloud services, which increases our net retention rates. in Q3, the number of HPE GreenLake customers grew 18% to 52,000, up from 44,000 a year ago. HPE Financial Services continues to deepen our customer relationships and offer a meaningful competitive advantage, which is becoming especially important as more customers look for financing options to help with their AI investments. As a result, HPEFS generated third-quarter records in financing volumes, residual value, and return on equity. In closing, HPE delivered another outstanding quarter, exceeding our company-wide commitments and demonstrating the ongoing differentiation in our strategy and its execution. As we look ahead, the same underlying drivers of our performance give us confidence in continuing to deliver higher profitable growth, higher cash flow generation, and higher capital returns for shareholders. I want to thank our team members for their focus and strong execution so far this year. Our amazing talent and culture have set our performance apart this quarter and in fiscal 2026 to date. With that, let me turn the call over to Marie. Marie? Thank you, Antonio, and good afternoon, everyone. We delivered another strong quarter reflecting accelerating demand for AI and solid networking momentum together with disciplined execution across the company. The demand environment remains robust as orders continue to outpace revenue. Investment in AI infrastructure is increasing at a rapid pace, with enterprise spending focused on agentic AI workloads and AI inferencing. Importantly, this opportunity is broadening across use cases, customer verticals, and geographies, reinforcing the value of HPE's expanded portfolio and our ability to provide customers with integrated solutions across the enterprise technology stack. We remain focused on executing against strong customer demand, navigating a dynamic supply environment, managing mix and input costs while driving operating leverage. This discipline is reflected in our financial performance, supporting durable profitable growth in fiscal 2026 and 2027. Let me walk you through the results. Revenue of $12.2 billion increased 34%, exceeding the high end of our guidance range, with order growth up 42% on a normalized basis, led by demand in traditional servers, AI systems, and networking. Gross margin exceeded 40%, driven by disciplined pricing in traditional servers and increased networking mix. Going forward, we expect our gross margin to moderate toward more historical levels, driven by the growth in AI systems and the normalization in traditional servers, offset by the growing mix of networking. Operating expense was up 17% sequentially due to higher variable compensation reflecting our record financial results. We expect operating expense to decrease in FY 2027 as variable compensation normalizes, and we see continued benefit from Catalyst Transformation efficiencies and Juniper Synergy. Operating profit was $2 billion, up nearly 40% sequentially. Operating margin of 16.2% expanded by 290 basis points sequentially, driven by gross margin expansion and operating leverage. EPS was $1.11, well above the high end of our guidance. GAAP EPS was $1.06. We delivered Q3 free cash flow of $958 million, driven by strong operating profit as well as collections. Now, let's turn to our segment results. Networking revenue of $2.9 billion was up 10% on a normalized basis, consistent with our outlook. Orders increased 36%, about 3.5 times faster than revenue. Order growth was broad-based across the portfolio, led by AI infrastructure-related investments in data center switching and routing, and strong demand for self-driving networks in campus and branch. Networks for AI demand accelerated in Q3, with orders reaching a new high of $700 million, up triple digits. Our portfolio and competitive position in scale up, scale out, and scale across strengthened by the recent launch of our direct liquid-cooled Tomahawk 6 base switch and our differentiated PTX and MX routing portfolio. Our pipeline continues to increase, with further acceleration expected as we bring the Helios platform to market. We expect networks for AI to be a meaningful growth engine for the company. Cumulative networks for AI orders were $2.2 billion, surpassing our FY 2026 target. As a result, we are increasing our year-end target to $2.5 billion-$3 billion. To meet this order growth, we have more than doubled our networking purchase commitments quarter over quarter. Within networking, campus and branch revenue grew 8% on a normalized basis. Routing revenue growth accelerated to 23% as we benefit from increasing demand for our on and off-ramp AI network infrastructure. Security grew 12%, while data center networking revenue declined 6% due to shipment timing driven by supply constraints. Order momentum was much stronger across most product categories, with data center switching and routing up high double digits and campus and branch up low teens. We remain focused on improving order conversions to drive faster top-line growth and greater scale. Across customer verticals, enterprise revenue grew 12% and service provider grew 5% on a normalized basis. Enterprise growth was driven by strong demand from large global accounts prioritizing network modernization across campus and branch and data center switching. Networking operating margin of 22% was in line with guidance, reflecting disciplined execution and the early realization of Juniper synergies, partially offset by higher variable compensation. Moving to cloud and AI, we delivered fiscal Q3 revenue of $9 billion, up 25%, exceeding our outlook, reflecting strength in traditional servers as higher average selling prices drove server revenue to an all-time high. Our disciplined pricing and increased scale drove operating profit above $1.5 billion. We were pleased to see operating profit growth accelerate, up 61% sequentially at triple digits year-over-year. Operating margin of 17% was up 460 basis points sequentially, demonstrating our ability to scale our business profitably. Server revenue growth of 35% accelerated sequentially as strong ASP growth in traditional servers offset supply-constrained unit volumes. Orders increased strong double digits year-over-year, reflecting robust demand from large enterprise, sovereign, and cloud providers. Our supplier agreements, now multi-year in some cases, ensure us the capacity allocations we need to reduce lead times, improve our backlog conversion, and drive higher new order growth, supported by our historically highest level of purchase commitments. We see enterprises increasingly moving from AI pilots to production deployments, using traditional servers for agentic AI workloads and inferencing. Examples include a global financial services firm leveraging AI for market analytics and trading insights, and a large retail customer deploying on-prem agentic AI workloads to lower public cloud AI token costs. As evidence of this strong growth, we are pleased to report that after quarter end, HPE was awarded a multi-billion-dollar server deal with a hyperscaler customer specifically designed for inferencing, supporting our view that demand for inferencing and agentic AI workloads is building. AI systems orders of $2.4 billion increased over 30% sequentially, reflecting broad-based demand across customer segments. Enterprise demand more than doubled, reflecting increasing overall infrastructure spending as AI initiatives have become board-level priorities. Our AI systems backlog increased 14% sequentially to a new high, and our pipeline remains multiples of our backlog. AI systems revenue for the quarter was almost $1.6 billion. We expect AI systems revenue to improve sequentially in Q4, given timing of backlog conversion. Storage revenue increased 10%, driven by strong order growth with higher ASPs and a favorable mixture towards higher-value owned IP and private cloud. PCAI orders increased triple digits in Q3 as customers are adopting our AI factory platform to support agentic AI and inferencing initiatives. Alletra MP orders and revenue increased strong double digits year-over-year. We see robust growth potential for our X10K object and file system, broadening our AI solutions portfolio to address the rapidly expanding unstructured data market. Finally, financial service revenue was roughly flat year-over-year, and the business continued to generate a return on equity exceeding 20%. Turning to our integration and transformation initiatives. We are making strong progress in building a more efficient company as we are running ahead of plan on multiple projects to lower our cost of sales and operating expenses. Juniper Synergy capture remains on track to achieve our $600 million annual run rate savings target by the end of FY 2028, with integration costs tracking better than planned. Last quarter, we highlighted the growing contribution of AI-enabled process simplification within Catalyst. Since then, we have expanded both our AI and operational simplification efforts across the enterprise. HPE is now deploying an internal agentic AI platform built on our own Private Cloud AI, open-source, and open-weight models, leveraging intelligent routing that sends each workload request to the most cost-effective AI model. According to our own internal analysis, our PCAI offering can reduce token costs versus the public cloud by up to 60%. Routine tasks stay on-premise, while frontier models are reserved for the most complex work. Moving to cash, we delivered operating cash flow of $1.6 billion. Free cash flow totaled $958 million in Q3. As a result, we are raising our free cash flow target to at least $3.75 billion for FY 2026. Our cash conversion cycle improved by one day from Q2, driven primarily by a decrease in days receivable due to more favorable billings linearity within the quarter, along with stronger collections. This was offset by an increase in days of inventory due to higher purchases in anticipation of future shipments. Inventory ended the quarter at $11.8 billion, up year-over-year and sequentially, reflecting higher commodity costs and targeted purchases to support increased orders and increased backlog. In Q3, we returned $324 million to common shareholders, including $189 million in common dividends and $135 million via share repurchases. We received gross proceeds of approximately $1.4 billion after closing our H3C transactions and used cash on hand to retire our term loan. Consequently, we exited Q3 with a net leverage ratio of 1.8x, below our target of two times. We completed the sale of our Telco Solutions business last month and intend to retire $1.25 billion of notes maturing later this month. We plan to return at least 75% of our free cash flow to shareholders in Q4. Turning to guidance, we are increasing our outlook on the strength of our Q3 results and confidence in the durability in demand. We expect Q4 revenue to be between $13.9 billion and $14.8 billion, reflecting continued strong demand across both segments. We expect networking revenue to grow 11%-13%, driven by order strength and improved supply chain conversion. We expect networking operating margin to improve modestly quarter-over-quarter, driven by top-line growth and Juniper synergies. In cloud and AI, we expect revenue to grow 60%-72%, reflecting sustained demand, higher ASPs in traditional servers, and greater AI revenue conversion. We expect operating margin to moderate sequentially to a mid-teens rate. We expect Q4 total operating expenses to decrease sequentially by a low single digit due to lower variable compensation expense and increased Catalyst Transformation efficiencies and Juniper synergy capture. We expect our operating margin rate to decline sequentially, driven primarily by a higher mix of AI systems in cloud and AI and pricing. As a result, we expect EPS between $1.20 and $1.30, and GAAP EPS between $1.12 and $1.22. Based on our Q3 results and Q4 outlook, we are raising our FY 2026 EPS guidance range to $3.75-$3.85. We are also raising our GAAP EPS range to $2.93 and $3.03. We now expect FY 2026 free cash flow of at least $3.75 billion. Given the demand strength and sizable backlog we saw at the end of Q3, combined with some large deals we signed post quarter close, we are updating our fiscal 2027 framework and now expect consolidated revenues to grow 13%-17%, networking revenue growth of 14%-17%, cloud and AI revenue growth of 14%-18%, company operating profit growth of 14%-18%, company operating margin of 14%-15%, supported by a modest decline in operating expense, networking operating margin in the mid to high 20% range, cloud and AI operating margin of approximately 13%, EPS of $4.40-$4.60, which implies growth of 16%-20% versus the midpoint of our FY 2026 EPS outlook, and free cash flow of at least $5 billion. Importantly, this framework builds on our higher FY 2026 guidance, pointing to a significant improvement in our fiscal 2027 outlook. In closing, Q3 was an exceptional quarter for HPE. We generated strong financial results, raised our fiscal 2026 and fiscal 2027 commitments, and achieved our leverage target more than a year ahead of our original plan. Demand remains ahead of revenue, and our backlog is a record, and our Juniper integration and Catalyst initiatives are delivering ahead of our FY 2026 plan. As we head into the final quarter of fiscal 2026 and look ahead to fiscal 2027, we are executing from a position of strength with durable demand, strong margins, and the operational discipline to sustain both. With that, I'll turn the call back to the operator to begin Q&A. Thank you. We will now begin the question-and-answer session. To ask a question, you may press star then one on your touch tone phone. If you are using a speakerphone, please pick up your handset before pressing the keys. If at any time your question has been addressed and you would like to withdraw your question, please press star then two. Our first question for today will come from Katherine Murphy with Goldman Sachs, and please limit yourself to one question. Thank you for the question. It was encouraging to see the momentum across the total portfolio with the record orders that you mentioned in the quarter, as well as the raised fiscal 2027 outlook for 13%-17% growth. First, can you talk about what's giving you confidence that the current demand represents a sustained infrastructure cycle rather than customers pulling forward spend? Then as a follow-up, can you quantify how much of the raised fiscal 2027 outlook is related to the new hyperscale inference and Oracle deals that you highlighted versus improved outlook within the remaining business? Thank you very much. Well, thanks, Kathy, good afternoon. Look, our guide is informed by what we see in the market, and the market is telling us that demand continues to be exceptionally strong. There continue to be large build-out for AI clouds, and obviously we participate that in a very disciplined approach. Although networking, we continue to see significant demand for our routers and data center switches, which you saw we had record-breaking orders of $700 million this particular quarter. And we expect that to end between $2.5 billion and $3 billion for the year. When I think about 2027, in our guide, we have not included the AMD Helios opportunity at all, which is going to start ramping sometime end of this calendar year in 2027. So demand is exceptionally strong. On the cloud and AI, what gives us the confidence is the acceleration in the enterprise. The enterprise clearly has hit an inflection point, and that inflection point is driven by the deployment of agentic AI and AI inferencing. We see that is because the number of use cases, and we see that ourselves. Just to give a perspective, we have more than 1,200 use cases in our company, 300+ in production, and we continue to learn how to do that at an accelerated pace. We see that now in the broader enterprise market across multiple verticals, and the reality that is going to favor our traditional server and storage business and our private cloud stack because they do not need huge amount of GPUs or even CPUs for that matter. What they need is a very tight couple infrastructure that ultimately brokers the cost of tokens that ultimately allows them to do what they need to do. The number of tokens on-premise is growing very, very rapidly. That is what informs us on the durability of this demand, and we see that in our pipeline, because ultimately you guide yourself about the pipeline and how much of the pipeline you could convert first in orders and eventually into revenue. That is what gives us the confidence to provide the guide that we guided for 2027. Marie? Yeah. Just in terms of the guide itself, as you know, we guided to 13%-17% on revenue for the total company. In terms of networking, the Oracle deal plus the core, the beginning of the Oracle deal is in the 14%-17% that we guided for the networking growth. In terms of the hyperscaler deal, some of that as well is included in the cloud and AI, which we guided to 14%-18%. That is how you should be thinking about the revenue. Once again, there are puts and takes in all. There is more AI revenue in cloud and AI as well as you get into 2027, so just bear that in mind. The next question- Thank you, Kat. The next question will come from Amit Daryanani with Evercore. Please go ahead. Yep. Thanks a lot. Good afternoon, everyone, and congrats on some fairly impressive numbers over here. Antonio, I wanted to just ask on networking, though, the organic growth of 10% looks a little light relative to what I think your peers are seeing right now, I think relative to what you perhaps expected. Your orders at up 36% is really strong. Maybe just talk about what's driving the gap over here and how should revenues begin to catch up with orders. If you just spend a little bit of time on that would be helpful. I did not hear you folks talk about the Oracle announcement a lot. Maybe just help us appreciate, what are you providing them? Is it scale out, scale across? Just provide a little bit more color on that deal because it seems like a fairly important thing on the networking side, at least. Thank you. Sure, Amit. The order momentum is super strong. In fact, as we said in our prepared remarks, our orders are growing 3.5 times faster than the revenue. What has limited us is the availability of supply. We expect that supply to become more aligned to our order bookings as we go forward, starting Q4, where you can see we're grow on the revenue side from 10% in Q3 to 11%-13% in Q4, and then eventually to 14%-17% in the full 2027 year. That's our focus. It's really on that supply availability. That's why Marie said that we have doubled the number of commitments, in term of inventory. We are working with our suppliers through that. The reality is that we will see continued orders ahead of revenues. But we expect that to kind of close a little bit as we go forward. We expect an acceleration of revenue as we go forward, but supply will continue to be the constraint. Within that, Marie talked about core. Our core for us is the campus and branch, which always has represented more than 50%. This quarter was probably 50% of it. That had double-digit order growth, low double-digit order growth, but we posted record revenue. We expect that continue to improve as we go forward because we have a terrific value proposition with our self-driving networks and the versatility of the both Mist and Aruba Central platform. Then, on the Oracle side of the equation, is an expansion of what Juniper used to do, but now we're doing at gigawatt scale, and it's going to be a very set number of deployments on a global basis. They're going to use both our QFX switching products, which is based on the Broadcom Tomahawk 6 and our software and our AIOps. Think about that as a scale out. Then our scale across, which is our PTX routing platform, which uses our own silicon, which is a major differentiation for scalability, which is our Express 5 silicon, which we designed now a couple of years ago. So on a combined basis, this is a multi-gigawatt on a multi-year basis. Thanks. Operator, can we have the next question, please? The next question will come from Aaron Rakers with Wells Fargo. Please go ahead. Yeah. Thanks for taking the question, and congratulations on the strong results. On the traditional server side, I guess the question I have is, I think you talked about a lot of the growth being driven by the ability to pass through pricing relative to unit growth. I guess my question is, as we think about AI moving into the enterprise environments more prolifically, how would you characterize the installed base and the upgrade opportunity that you're seeing associated with that? Should we start to think about unit growth accelerating on top of the ASP pass-through? Then secondarily to that, the hyperscale deal, I think, in the past, HPE has been pretty clear of, you'll be opportunistic on AI opportunities and maybe some of the larger hyperscalers. Has this changed strategically at all, or are you going after some additional hyperscale deals more actively going forward? Thank you. Thank you, Aaron. Maybe I'll start with the latter because it's a very important use case. It is a hyperscaler customer, but think about them as an enterprise customer who is going to use our AI inferencing for their own internal usage. Our strategy has not changed from selling large amount of infrastructure for them to serve, like it used to be in the past, the cloud business. This is about a multi-billion dollar AI inferencing for their own internal usage as an enterprise customer. It just happened to be they are labeled as a hyperscaler customer. Okay? That's one takeaway. Second is that, look, units will modulate as supply becomes available, right? We, as Marie said in her prepared remarks, we still, like everyone else, working through the supply availability. What we are very excited about is that the acceleration of traditional servers and storage, by the way, in private cloud, because some customers go server only, some go with no service attached to storage attached to servers, and some are using the full stack like a HPE Private Cloud AI, which in many ways is the AI factory that we co-engineer with NVIDIA. In that case, it is about the growing of the AI deployment on premise. So over time, it is going to become how large those deployments come. Ultimately, whether you are server only or you go private cloud, that will drive units, but it also will come down to the conversion of the units based on the supply availability as we navigate 2027. But right now, as we said, we expect continued exceptional demand into Q4 in 2027. Thank you, Aaron. Operator, can we have the next question? The next question will come from Joseph Cardoso with JPMorgan. Please go ahead. Hi. Congrats as well, and thank you for the question. Maybe if I could, I think, Antonio, you mentioned that you are not embedding the HPE Helios opportunity into the fiscal 2027 outlook. Can you just touch on the rationale behind that decision and what is keeping you on the sideline from introducing that into the framework? Any thoughts on how we should think about the magnitude of upside that you could introduce to the networking revenue and margin outlook when and if that gets introduced into the framework? Thank you. Yeah. No, thank you for the question. We are working very closely with our partner, AMD, and we expect that infrastructure to be available for ordering later in this calendar year. We are working together on a very large pipeline, which obviously this infrastructure is designed for large AI deployment at scale, particularly for training, and then obviously can be used as well for inferencing. These are a concentrated number of customers in the end that need that level of infrastructure, not different than using today with NVIDIA NVL72 and 144 or Vera Rubin. We felt that we wanted to see a little bit more as the schedule firm up and then eventually start deploying these capabilities. As we go through the subsequent quarters, we are going to share more about how that is happening. The opportunity is pretty massive. When you look at the size of that deployment, it can be as a market, not HPE, tens of billions of dollars. Okay? Tens of billions of dollars. The difference this time is that for us, these scale-up tray switches are HPE Juniper. Let me be clear, we are going to sell HPE Juniper scale-up switches beyond just embedded in a HPE Helios rack. We can sell it to anyone for that matter. Because obviously customers will want sometimes different compute vendors, which is totally fine. That opportunity is in the margins of the tray switch and the opportunity to sell it broadly beyond the HPE as a partner with AMD as we go forward. Once we see a little bit more of that, Marie and I will share more, but this is not in the 14%-17% growth that we just shared with you as a part of networking only. I would just add that once we get to the end of Q4, we will give a fulsome guide for 2027 as well. Yeah. Great. Thank you, Joe. Operator, can we have the next question, please? The next question will come from Wamsi Mohan with Bank of America. Please go ahead. Yes, thank you. I was wondering if you could share any more details around your $3.5 billion inferencing deal that you signed. What exactly is part of that, and can you talk a little bit about the economics around this? Are you changing your approach to incremental hyperscale opportunities? Thank you. Yeah. We cannot talk about the customer, but it is a hyperscaler customer, but is acting, as I said to Aaron, as an enterprise. We are not selling Wamsi what used to refer as a tier 1 infrastructure. You recall that during the cloud days. We are not selling that type of infrastructure. We are selling traditional servers for AI inferencing that they will use for their own internal usage. Great. Thank you very much. Thank you, Wamsi. Operator, can we have the next question, please? The next question will come from Asiya Merchant with Citi. Please go ahead. Great, thanks for the question. Can I just take down a little bit on supply constraints? Where do you see them most acute right now, and your expectations on these supply constraints easing or how you are thinking about your agreements, long-term agreements that you have signed to source the supply. Thank you. Yeah, thank you for the question. The supply constraints, generally speaking, continue to be the same, right? So obviously on the commodity side, DDR5 is a great example of it. DDR4 for the older generation, NAND in the flash drive space. Those have been consistent themes now for three quarters, since the beginning of 2026. Then there is a other set of parts underneath that they are constrained by wafer capacity. We expect that continue to be the case because ultimately you have to solve two problems. One is clean room capacity to turn wafer into a more available supply. That should improve some in 2027 because we know our partners continue to invest in clean room capacity. But ultimately, structurally, this will be solved with wafer capacity because in the end, you need the wafers to turn parts into actual supply of products. That is the challenge we all navigating through. The wafer capacity affects other parts, right? But in the memory space, you also have another trend underneath that obviously is driven by the technology shift. We had DDR4 to DDR5, that is understood. But then you have traditional DRAM moving to HBM, and that HBM demand is super high because it is driven by the GPU, and the better memory that comes with it. This is why you have to look at this wafer capacity, clean room capacity, and then eventually the mix of what type of memory will be used and demanded as we go forward. Now, in the traditional server, we use DRAM. We do not use HBMs. That is where we are focused very extensively. Once you buy a rack scale architecture, you come with HBMs, therefore, once you get that server tray with the GPUs, the memory comes with it. This is what we need to navigate through. But my expectation personally, after seeing the exceptional demand that we see in the market and talking to our suppliers, some of them we sign already multi-year LTA agreements, to lock a capacity. We decide how to use that capacity. Then, it tells me this is going to last for a longer period of time, which obviously, will have consequences on cost and pricing. But so far, I think HPE has been very effective in managing that process. Thank you, Asiya. Operator, can we have the next question, please? The next question will come from Erik Woodring with Morgan Stanley. Please go ahead. Super. Thanks so much, guys, for taking my questions and congrats on the nice quarter here. Marie, your prepared remarks, you mentioned gross margins, and you mentioned a normalization in traditional server margins, I think looking forward. Can you maybe just elaborate a bit on what that means? Why would you see a normalization in server margins if demand is as strong as you're referencing and your unit trajectory should seemingly improve as you get better supply? Have you benefited from low-cost inventory now that's starting to uptick in your bill of materials? I'm just trying to understand your comment and exactly what you're trying to message there. Thanks so much. Yeah, no worries, Erik, and good afternoon. Maybe I'll just start out by giving you some context on the quarter, what drove those margins, and then how we think about them going into Q4 and into 2027. I would think about Q3 more as a confluence of everything coming together at once. Obviously, you saw the impact of strong revenue scale, and that played through in terms of leverage, higher gross margins. We talked about our discipline pricing. You heard Antonio talk about how we've been very diligent around pricing in this constrained component environment. Don't forget, we've also got the benefits of programs like Catalyst that have been flowing through as a put and a take. There was a mix of deals in the quarter that also impacted and really frankly benefited us in terms of our Q3 rates on what I'd say with respect to servers. As you get forward and you look forward into Q4, and then this does carry forward into the guide that we gave into 2027, bear in mind that the mix of deals specifically in AI will ship. We do expect to ship more AI revenue, specifically in Q4. And you can see that our inventory number went up, so we're positioning ourselves to ship some larger AI transactions, and we expect to have a bigger mix of that also into 2027. Then I'd just double down and say, actually, the mix of deals, even inside a traditional server, will also moderate as we go into Q4 and into 2027. So that's how I'd be thinking about the margins. Obviously, we're pleased with the guide that we've given. But I think at this point, we had a great quarter in terms of a confluence of all the factors coming together. Thank you, Erik. Operator, can we have the next question, please? The next question will come from Tim Long with Barclays. Please go ahead. Thank you. A two-parter, if I could, on the AI networking side. First, nice win with Oracle. As you mentioned, they had been a pretty big Juniper customer. So just curious if that win can propel any other, be used as a reference design or reference case for other either hyperscalers or neo clouds. There is obviously a lot of new networking opportunities out there. So I am curious if you think that larger, more profile AI win can do that. Second, Tony, you mentioned the scale across with the custom silicon. I am curious what you guys are hearing on the importance of having that custom silicon. Do you think that was important for the win? Similarly, is that something that can help drive even more scale across as that is becoming more important for the AI companies? Thanks. Yes, Tim, thank you. The answer is yes and yes. Yes, because obviously it proves on the first part of your question that we have a scalable set of products that deliver the performance with the AI capabilities that now everybody is looking for to drive these self-driving kind of operations. We have embedded that across the entire portfolio, not just in the campus and branch, but also if you look at our routers are amazing what they can do in optimizing that bandwidth using AI. Also we were first time to market with the 1.6 terabits. Time to market here is a very important aspect of competing and winning in the market. Rami and I spend a lot of time with the team how we continue to stay ahead of the curve and be first time to market with these latest technologies. We were definitely first time to market, Juniper was, with the 1.6 terabit in air-cooled, and we were the first 1.6 time to market with the direct liquid cooling. On the routing side, look, it is very hard to do what our silicon does. There are only two, three players have done this a massive scale, and it is a source of differentiation. What our Express 5 silicon does for the routing is unique. If you think about that PTX, I will give this example. Perhaps not in the AI space, but if you take the latest PTX product, which is three-quarters of a rack, and you take New York and London, all 60 million people watching a Netflix movie concurrently on that platform, the platform can manage it. Think about the scale that these products can do. That is very hard to do. That is why as these gigawatts and gigawatts of infrastructure gets deployed, which we think by the end of the decade will be over 270 GW, you have to connect all of them. Therefore, at the end of that pipe, you need a router with that level of capabilities. Thanks, Tim. Operator, can we have the next question, please? The next question will come from David Vogt with UBS. Please go ahead. Great. Guys, thanks for taking my question. Maybe a combo for Antonio and Marie. Antonio, if I think about your 2027 outlook, you are taking the revenue up by about $4 billion relative to where we were 90 days ago. Can you kind of dig in on the supply chain? I know you talked a little bit about it before, but what improved on the margin? Was it just securing more purchase commitments? What gives you more confidence that you have enough supply chain relative to 90 days ago to kind of hit that target? Marie, for you, same kind of question. You are taking that number up by about $4 billion, and it looks like the free cash flow drop through is pretty impressive. Incrementally, $500 million flows through at least, which is better than your current conversion on the business. Can you help us understand kind of what is going on with the free cash flow conversion from the guidance raise? Thank you. So yeah, the first part of your question, the answer is yes. Because, obviously we put numbers out there if we have the ability to fulfill it. That came through the work that our supply chain team have done to secure these multi-year long-term agreements that locks the capacity. Obviously every 90 days, we can actually adjust what type of usage in that capacity, within that capacity we want to get out of it. Your math is absolutely in the range. That is why we are confident in this guide, because on one end you have the demand for it, and on the other end, you have the supply to fulfill it. That is why this is a durable, profitable growth. On the cash flow, Marie? Yeah, no, look, I first of all say, look, really pleased with the guide we gave of at least $5 billion, which is up 33% year-on-year. As you correctly pointed out, one of the biggest drivers of that improvement in the rate is really the fact that we have got a lot less restructuring as we go into 2027. Just remember that the programs that we had, like Catalyst and the Juniper Synergy programs, really, we had the sort of the, I would say, the brunt of the restructuring in this year, in 2026. As we get into 2027, we start to bleed that down, and it will be a bit of a tail left on the Juniper Synergy plan, which will honestly bleed off by the sort of end of Q4 of next year. I think the other thing, Marie, that's important to understand is that as we accelerate the growth in networking, which obviously 14%-17% is an acceleration compared to 2026, the working capital demand in networking is significant. Yeah lower because it is a faster turn to revenue once you get the inventory on hand. Thank you, David. Operator, can we have the next question, please? The next question will come from Mark Newman with Bernstein. Please go ahead. Hi. Thanks for taking the question. Digging a bit more into the server side, you reported server revenue up 35% year-on-year. Obviously, you've got some AI servers in there. I think if you take that out, it implies that traditional servers growing a bit faster than that number. I just wondered if you could. You said orders for traditional servers up 75% year-over-year. I wondered if you could clarify for us, like, how much of this growth is higher ASPs and richer configurations, which you mentioned on slide eight, versus unit growth. Is there any significant unit growth in terms of units or CPU cores or any kind of metric like that? Or is this exclusively pricing and configuration? Related to that, the orders being stronger growth than the revenue, can we ascertain from that that you're significantly supply constrained and should we. How long will that supply constraint last? I'm just wondering in terms of projecting out, should we see further acceleration of server growth from here as supply constraint alleviate, or is that supply constraint going to remain at similar levels, going forward? Thanks so much. Yeah. You put a lot in that question, but I'm going to simplify it for you a little bit. Look, we expect in Q4 units to strengthen because of what we see in the market. Obviously in 2026, the units has been constrained by the supply availability, which means that a lot of the growth came through the ASPs. But as we go in through Q4, we expect units to strengthen and a lot of that will be on the back of the AI inferencing and agentic AI that we see. Supply will continue to be constrained, which means we're going to continue to run into high backlogs as we go forward. But to the question that was asked earlier on, we factor that in in our guide because our guide reflects what we believe the supply availability against the backlog and the demand will be. I will stay focused on the guide. I will stay focused on the fact that supply will continue to stay constrained, but the demand will continue to be exceptionally high. We expect the cloud and AI segment to grow 14% to- 18% 18% on revenue, and that's a very strong growth, and it will continue to be led by traditional servers, higher conversion on AI systems as we go forward, particularly in Q4, and then ultimately the storage business because obviously the storage business helps on the profitability side because of the margin structure. But look, as we said in our remarks, storage grew twice as fast as the revenue that we posted in the quarter. Yeah. I'll just add, Mark, that we actually give it a raise on cloud and AI revenue, actually for 2027 too, to get to the 14%-18%. So I think that just illustrates the strength of the demand that we're seeing out there. Thank you, Mark. Operator, we'll take our final question. Our final question will come from Matt Niknam with Truist. Please go ahead. Hey, thanks so much for squeezing me in. I'll echo the congrats on the great results. Maybe more of a high-level question. I'm wondering, Antonio, if you're seeing any incremental hesitation or pushback from customers with regards to demand appetite, just in light of some of the bigger pricing actions aimed at offsetting higher memory costs. Maybe on a related note, if you can speak to where incremental budget to invest in IT infrastructure and HPE products are coming from at some of your larger customers. Thanks. Sure. No, we don't see hesitation. I will say at the beginning of this hyper cycle on the cost, obviously they were a little bit, I mean, in shock, and they're trying to navigate through that timing by focusing on understanding the trends and looking at the spot market and the like. Once they understood that and understood that particularly on AI, you need to go faster, they figured it out, look, waiting is not an option. But they're getting smarter about where to land their budgets and how to optimize for these token economics. Marie talked about, look, when you do it on premise, and we do that ourself, and we share the number, we can see up to 60% cost benefits on a token basis. No, I don't see hesitation at this point in time, and that's why demand continue to be exceptionally strong. That's very clear. In term of budget, look, budgets overall are going up. Look, in our case, Marie can talk about it. Of course, there is prioritization within the budget. Should I replace that older infrastructure, so invest more in AI is a balanced approach. But in our case, we are growing the budget to consume more tokens because we are very aggressive in deploying AI as a part of the Catalyst Transformation. Obviously, we do it with governance, rigor, return on invested capital, and all the things. But in the end, it's an add-on, okay? It's not the subtraction of something else. I was talking to a large customer yesterday, which is in the financial sector, and he told me, "Yeah, we are going all in, and now we have done the math, and we believe it will be better suited for us to build a AI factory on premise, so that we can improve the agility of deploying AI with the cost and controls," particularly in financial services with the compliance, right, that regulates that vertical. We see that momentum continuing, and I believe 2027 is going to be even stronger for enterprise because they become more confident in what they're doing, and one win leads to another win, right, on how this has been successful. Because in the end, it's business process transformation. It's workflow transformation. It's not just technology for the sake of technology. Thanks, Matt. Antonio, would you like to Yeah, no, thank you for your time. I know you have a lot of earnings to cover. I will remind you of the Networking Investor Day. Please attend if you can. We are going to share with Rami our view of the future. Clearly super excited about the Juniper acquisition. It has been a huge success, and we are just at the beginning. You saw some of the wins that we just announced. The runway ahead of us is enormous. Whether it is new wins to Tim's question early on or with further customers or the Helios opportunity. The fact that everybody was concerned about integration, this was executed very thoughtfully. The fact we are growing 3.5 times faster in revenue shows you that we have the right portfolio at the right time with the right talent. Then in the cloud AI, I think we are delivering operating leverage. I mean, the execution there has been excellent. Our strategy is very intentional. We are leading with networking. We are at the core becoming a networking company, and the rest of the portfolio is there to serve the customer needs by driving the profitability and ultimately generating more cash, which has been a huge success so far, and it will be a bigger success in 2027. Thank you for your time today. The conference is now concluded. Thank you for attending today's presentation. You may now disconnect.