HPE projects revenue above estimates as AI hardware demand drives $5 billion server backlog

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Hewlett Packard Enterprise forecast second-quarter revenue between $9.6 billion and $10 billion, exceeding Wall Street estimates of $9.57 billion. The company is capitalizing on surging demand for AI-powered servers equipped with Nvidia chips, while navigating memory chip shortages by raising prices and prioritizing high-margin enterprise customers over some mobile service providers.

HPE Revenue Forecast Beats Wall Street on Surging AI Hardware Demand

Hewlett Packard Enterprise delivered a revenue forecast that exceeded Wall Street estimates, signaling strong momentum in the AI hardware market. The company projected second-quarter sales between $9.6 billion and $10 billion, topping the $9.57 billion average estimate from analysts polled by Bloomberg

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. For the fiscal first quarter ending in January, revenue rose 18% to $9.3 billion, while adjusted earnings per share hit 65 cents, surpassing the 58-cent estimate

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. The company also raised its adjusted EPS forecast for fiscal 2026 to $2.30 to $2.50, up from prior expectations of $2.25 to $2.45

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. Shares rose 3.2% in extended trading following the announcement

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Source: Reuters

Source: Reuters

AI Servers and Networking Products Drive Growth Amid Industry Boom

The demand for AI-powered servers equipped with Nvidia chips is fueling HPE's performance as Big Tech companies ramp up infrastructure spending. Alphabet, Microsoft, Amazon, and Meta are expected to spend at least $630 billion on AI infrastructure this year, creating substantial opportunities for server and data center equipment vendors including HPE, Dell, and Super Micro Computer

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. CEO Antonio Neri confirmed that "demand for our products and solutions was strong, with orders increasing double digits year over year across all segments"

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. The company currently holds an AI server backlog of $5 billion, underscoring sustained customer interest

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. HPE is also seeing robust demand for networking products, driven by AI workloads that require faster data routing capabilities. The company's $13 billion acquisition of Juniper Networks last year positions networking as a central pillar of its expansion strategy

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Memory Chip Shortage Forces Strategic Pricing and Customer Prioritization

Hewlett Packard Enterprise is navigating a severe memory chip shortage that's expected to persist well into next year. The company has responded by raising prices and selectively choosing which customers to serve. "We executed with very, very strong discipline in a very dynamic environment driven by the supply chain shortages and inflationary cost," Neri said in an interview

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. In some cases, HPE is even adjusting prices between the time it quotes and ships products

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. The company is forgoing supplying equipment to some mobile service providers to focus on higher-profit enterprise customers and sovereign AI cloud deals. "We are not done raising prices," Neri stated, while noting that HPE isn't losing significant market share overall

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. Memory chips are critical for AI applications as they hold data and instructions that keep processors running at high speed

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What This Means for the AI Infrastructure Landscape

HPE's strong performance reflects the broader AI boom transforming enterprise technology spending. The company is pursuing more contracts with countries building their own AI clouds, though these sovereign deals require longer approval processes due to U.S. export controls. Neri expects this revenue to materialize in the latter half of the year

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. While Cloud and AI revenue declined 2.7% to $6.3 billion in the recent quarter, margins in this unit widened significantly, demonstrating HPE's ability to maintain profitability despite supply chain pressures

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. For businesses and investors tracking the AI infrastructure buildout, HPE's revenue above estimates and substantial backlog suggest sustained momentum in enterprise AI adoption. The ongoing memory chip shortage and pricing dynamics will likely continue shaping vendor strategies and customer relationships throughout the year, with companies that can secure supply and maintain margins positioned to capture outsized value from the AI infrastructure wave.

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