A：HPE delivered record-breaking results with revenue reaching $10.7 billion, up 40% non-GAAP, and non-GAAP earnings per share of 79 cents, which increased 108%. The company generated $915 million in free cash flow, with an improvement of $1.8 billion, and orders more than doubled, creating a record backlog.

A：HPE's revenue growth was broad-based, with investments in AI and AI inference accelerating. The company saw strong demand across the portfolio, with commercial cycle performance and customer orders more than doubling, significantly outpacing revenue growth.

A：HPE's new financial commitments for fiscal 2026 include an expected non-GAAP earnings per share of $3.40 at the midpoint and at least $3.5 billion in free cash flow. These figures are two years ahead of the company's committed long-term plan.

A：HPE made excellent progress in the Juniper integration and the Catalyst initiative, both running ahead of schedule. The combined networking portfolio and self and service networks vision are resonating with customers, leading to increased demand and record orders.

A：HPE emphasizes its progress in the Juniper integration with ahead-of-milestone achievements and synergies commitments. The company highlights the strengthening of its market position and growth momentum, with combined networking portfolio results and increased demand from enterprise customers across multiple verticals.

A：HPE introduced new autonomous agents powered by AI for optimizing networking performance. The company also announced the HP self-starting network capabilities, which have reduced network operation center incidents by approximately 75% for the UK Ministry of Justice. Data center switching orders increased nearly 20% and the company expects a strong pipeline due to product integration across server, storage, and networking.

A：HPE is helping customers scale in three ways: scale up by increasing performance and density, scale out by connecting thousands of GPUs and accelerators within a data center, and scale across by extending high-bandwidth interconnectivity between data centers. HPE's qfx switching fabric and AI-driven automation are part of its strategy to support these scaling needs.

A：HPE has raised its cumulative fiscal 2026 networks for AI order target to at least $2 billion, indicating a strong focus on building the best networking business in the industry and leveraging AI-driven automation and secure, high-performance networking to create durable shareholder value.

A：In HPE's cloud and AI business segment, revenue grew to $7.7 billion, up 23%, with traditional server orders increasing triple digits and very strong demand in AI systems. Storage orders also experienced triple-digit growth, and the company has a strong backlog of primarily enterprise and sovereign orders.

A：HPE exited Q2 with approximately 50,000 customers operating in its Green Lake Cloud, managing over 6.7 million systems, up from 5.3 million a year ago. The Dallas Cowboys chose HPE for modernizing their infrastructure and building a secure foundation for AI. HPE delivered a comprehensive solution anchored on its HP Green Lake private cloud offering, including Proliant servers, Aruba networking, and HPE Morpheus Enterprise. HPE Financial Services had a record return on equity and supports AI investment as customers ramp up their investments in AI.

A：HPE announced two upcoming events: HP Discover in Las Vegas, where updates on networking, cloud, and AI strategies will be shared, including major announcements and live Q&A for investors and analysts; and a dedicated Networking Investor Day later in the fall.

A：HPE delivered an exceptional quarter with results exceeding expectations, demonstrating that the strategy is paying off. HPE now expects to significantly exceed its original fiscal 2028 non-GAAP earnings per share target and generate at least $3.5 billion in free cash flow in fiscal 2026, two years ahead of plan. The market trends are strong and well aligned with the strategy, with continued demand strength expected into fiscal 2027 and beyond, which will accelerate durable shareholder value.

A：Revenue in Q2 was $10.7 billion, above the high end of guidance, with the Networking segment delivering another solid quarter, up 10% on a normalized basis. Data center networking and routing grew 6% and 9% respectively, while security growth accelerated to 18%. The Cloud and AI segment grew revenue by 23%, with strong orders and cost pass-through. Server revenue increased 33% with strong demand across various workloads. Financial services performed well with scale benefits driving operating profit of nearly $1 billion.

A：HPE is running ahead of plan, having achieved cost savings, and synergies from the Juniper acquisition. At quarter end, the employee base was the lowest since both companies combined, reflecting a 9% decline. The Catalyst initiatives are focused on reducing the cost of sales and Opex, with an emphasis on operational efficiencies and synergy realization. HPE is on track to meet its annual target of $200 million in cost savings and is ahead of plan with workforce transformation. The company is also leveraging AI to increase productivity and reduce costs across operations.

A：HPE expects Q3 total revenue between $11.5 and $12.1 billion, driven by strong demand for networking with year-over-year revenue growth of 73% to 78% and on a normalized basis, or approaching 10% growth. In Cloud and AI, revenue is expected to grow in the high teens, reflecting demand durability and improved AI systems revenue. The company expects operating margins to be in the low to mid-teens on a consolidated basis, with total operating expense increasing sequentially to support seasonal marketing expenses and networking R&D investments.

A：The updated expectations include a sequential improvement in the operating margin rate, with a range of EPS between 88 and 93 cents and a range of gap EPS between 84 and 89 cents. For the fiscal year, the outlook for EPS has been raised to a range of $3.35 to $3.45, and for Gap EPS, it has been raised to a range of $2.42 to $2.52.

A：The updated full-year consolidated revenue growth outlook is now 29% to 33% on a reported basis or high teens on a normalized basis.

A：The revenue growth expectations have been revised as follows: Cloud and AI revenue growth is now expected to be in the low 20% range, up from a prior mid to high single-digit range, driven by higher ASPs in traditional server business and improved AI systems revenue. The full-year networking revenue growth has been revised to 70 to 75% on a reported basis or approaching 10% on a normalized basis, and the OI 80 outlook has been lowered to a range of 420 to 460 million due to lower net interest expense expectations. The free cash flow outlook has been increased to at least $3.5 billion.

A：The company's outlook for fiscal year 27 is based on sustained secular tailwinds, with a forecast for consolidated revenue growth of 8% to 12%, and similar ranges for both the networking and cloud and AI segments. It expects improved operating margins of 12% to 16%, a year-over-year reduction in operating expenses, and a networking margin in the mid to high 20% range. The cloud and AI operating margin is expected to range between 10% to 15%, depending on the mix of AI business and the pace of catalyst savings. It anticipates revenue growth and operating leverage to deliver an EPS growth of 12% to 16%, with a free cash flow of at least $4.5 billion.

A：The key factors contributing to the company's strong free cash flow include the operating profit growth expectations which support higher profitability and translate into cash flow. Additionally, the company's script baseline does not include the charges associated with the Juniper synergies, which boosts the free cash flow. The company expects to reach its two times net leverage goal by the end of fiscal year 26, one year ahead of schedule, and plans to return at least 75% of free cash flow to shareholders via dividends and share repurchases.

A：The major contributors to the growth and operating leverage include the durability of demand for networking and cloud and AI products, new use cases for AI deployment, and the build-out of new data centers. The momentum in networking is strong across all customer segments and product segments such as branch, campus, and cloud networking. Additionally, the introduction of new products and technologies, such as the new switch with the Helios stack reference architecture and the Ptx 100 GbE interconnect, is expected to drive data center interconnect growth.

A：The factors impacting the demand and bookings for the company include an amazing portfolio aligned with current inflection points in networking, cloud, and AI, as well as a strong pipeline that is multiples of the current backlog. The revenue and ability to convert it are dependent on the availability of supply.

A：The revenue guidance takes into account the supply allocation that has been factored in, and the teams have become more proficient at using AI for better supply matching with demand. However, there is no incremental supply unless something is canceled, which could then be reallocated. Long-term agreements lock in capacity based on the mix of orders and backlog, and all these factors have been considered in the provided guidance.

A：The improved outlook for AI systems is attributed to a deliberate strategy to focus on markets where HPE can drive value, which includes enterprise and sovereign markets. The enterprise market shows momentum with private cloud AI and deep integration with Nvidia. The sovereign market includes deployments that meet sovereignty requirements and are large-scale, taking longer to achieve but showing significant growth.

A：The three market segments the company is focusing on for AI are enterprise, which includes private cloud AI with deep integration with Nvidia; sovereign, which refers to deployments governed by sovereign laws or air-gapped to meet those requirements; and service providers, although the company plays selectively in the market and prioritizes prudent working capital management.

A：The company views the growth in AI systems as a significant opportunity for future value, with expectations that much of the demand by the end of the decade will be in the inferencing space. This growth will be supported by networking, compute, storage, and memory to allow the company to be more competitive and capture a larger share of the gross margin.

A：Enterprise and sovereign projects are typically more profitable segments for AI systems compared to traditional service providers or model builders. The company plays selectively in the service provider market and prioritizes prudent working capital management, which includes dealing with extended cash commercial cycles and the leverage commitment.

A：The company expects the growth outlook for cloud and AI to transition from creating value for networking to similar growth rates or possibly converging with networking growth rates in the next year.

A：The main drivers behind the fluctuations in the cloud and AI segment's growth include the usual lumpiness in AI system conversions, timing of supply availability, large backlog in servers, and constraints in storage. As memory becomes available, the company expects an acceleration in growth, particularly in the Ed forecast.

A：The main challenge in the networking business is supply availability due to constrained components such asDDR4 and DRR5. However, the company believes in the opportunity presented by these challenges as it works with suppliers to convert the strong order momentum into revenue once supply availability improves.

A：The margin uplift in the networking business next year is primarily attributed to the full-year benefit of the Juniper Synergies program. This has helped in cost of sales and contributes positively to gross margins despite the challenges of commodity costs.

A：A significant change in the last 90 days in the cloud and AI business is the acceleration of demand. This demand acceleration was experienced across several categories in the Cloud AI business, notably traditional servers and agency AI. The inflection point is believed to be driven by customers seeking immediate access to products.

A：The benefits for the company in pushing the transition to its MP include forcing a transition to end-of-life legacy products and introducing new data platforms. Modernization of software virtualization estates leads to modernizing the infrastructure that supports it. This, combined with the company's private cloud business and AI advancements, results in a stronger infrastructure that supports AI. The Green Lake initiative also drives additional technology adoption by providing a platform with a net retention rate near 100%, which is expected to grow consumption over time.

A：Cross portfolio sales are significant in the context of enterprise customers making purchases across server storage and networking product sets. This is driven by larger deals and engagement due to the scale of the company's cell phone, which allows networking sales to access customers previously out of reach. Product integrations, such as intent-based provisioning for data center switching and software-defined networking, are being integrated to provide a hybrid control plane for server storage and networking.

A：The early stages of networking and security integration are being approached by driving convergence at the silicon level, not just at the software level. This bold approach aims to create more significant synergy opportunities, especially as the speed of Ethernet and storage continues to grow, with Juniper switches being at the forefront of this technology. The company's strategy is to drive security convergence at the hardware level, which is expected to become more evident in the future with technologies like Rami and T.

A：The company has been able to maintain discipline in pricing despite significant cost dislocations, which are expected to moderate in the second half and normalize eventually. The cost and pricing environment will continue to be elevated, but units are expected to rebalance, supported by the company's Catalyst program that is aiding in improving gross and operating margins. The company anticipates strong demand to continue into the future, especially with the accelerated AI deployment, which has a positive effect on margins.

A：Outside growth in the server business is attributed to an acceleration in customer migration to the new MP platform, which is projected to drive triple-digit year-over-year growth in orders and revenue. Although the storage business grew by Ed, it was the later MP with block file and object that experienced triple-digit growth in both revenue and orders. This dynamic is influenced by the fact that a portion of the revenue from this MP is deferred over a longer period. Over time, this is expected to fuel growth in the total storage business, making it the biggest part of the portfolio.

A：The company's confidence in the strength of orders is based on the absence of evidence in orders or backlogs regarding pull-through, unlike past events such as Covid where double booking might have occurred. The company notes no cancellations and a robust pipeline, which indicates the durability of the demand and momentum going forward. This, coupled with the strong financial guidance and pipeline, supports the confidence in sustaining the current momentum.