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Bare metal boom: On-prem server sales for HPC and AI up 20% this year
Firms still want kit on-premises, but spike in revenue is as much about increased costs as higher sales On-premises high-performance compute (HPC) is still in demand, according to Hyperion Research, which estimates the market is expanding at almost 20 percent year-on-year, often driven by
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Dell overtakes HPE as on-prem HPC and AI server revenue jumps 20%
On-premises high-performance computing and AI-for-Science server revenue reached $16.5 billion in the first half of 2026, rising 19.9% from a year earlier, Hyperion Research said. Unit shipments rose 4.4% over the same period, indicating that higher system prices accounted for much of the revenue
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Dell has surpassed HPE to become the leading HPC vendor by revenue, capturing 24% market share with $4.2 billion in the first half of 2026. The on-premises HPC and AI-for-Science server market reached $16.5 billion, up 19.9% year-over-year, driven by AI processing demands and costly GPU components despite unit shipments rising only 4.4%.

Dell has overtaken HPE to become the largest HPC vendor by revenue, marking a significant shift in the on-premises HPC and AI-for-Science server market. According to Hyperion Research, Dell recorded $4.2 billion in HPC and AI server revenue during the first half of 2026, securing a 24% market share
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. HPE, which acquired supercomputing specialist Cray for $1.3 billion in 2019 and had long dominated the global HPC arena, now holds 21% of the market. This leadership change reflects evolving customer preferences and the cyclical nature of large-scale infrastructure procurement.The on-premises HPC and AI-for-Science server market demonstrated robust revenue growth, reaching $16.5 billion in the first half of 2026—a 19.9% increase year-over-year
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. However, unit shipments grew only 4.4% during the same period, revealing that the revenue growth stems primarily from higher system prices rather than volume increases. Organizations continue investing in bare metal infrastructure for AI processing demands, preferring to handle computation in-house rather than relying solely on cloud providers. This trend underscores enterprise commitment to maintaining control over advanced computing infrastructure for mission-critical AI adoption in workflows.The price escalation in HPC and AI server systems reflects the increasing integration of costly components. Systems now routinely include expensive GPUs and other accelerator-based systems to support large language models and AI workloads
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. Memory costs have tripled or quadrupled since last year, significantly impacting overall system pricing. Hyperion Research bases its market tracking on multiple surveys of buyers and suppliers, and the data reveals a major transformation driven by AI use and purchases of large GPU-equipped systems. This pricing dynamic was foreshadowed by Omdia's 2024 report noting that revenue growth from server sales was outpacing unit shipments as customers prioritized highly configured clusters.Related Stories
Beyond Dell and HPE, the HPC market shows considerable fragmentation. Lenovo and China-based Sugon each hold 4% market share, while 45% of the market falls into an "others" category
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. This category includes Bull, which re-emerged from Atos this year, plus Supermicro, Penguin Computing, and NEC. The market's inherently cyclical nature means that HPE's recognition of significant revenue in 2025 from multiple exascale-class leadership machines doesn't guarantee consistent year-over-year dominance, as procurement at that scale occurs intermittently."Organizations and institutions are continuing to invest in their advanced computing infrastructure due to both replacing aging machines and the desire to adopt AI into their workflows to support their businesses and missions," said Hyperion Research CEO Earl Joseph
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. The dual drivers of aging infrastructure replacement and AI adoption in workflows are pushing organizations toward substantial capital investments. Joseph emphasized that HPC systems serve as the backbone for AI and AI-related applications, propelling the overall market to unprecedented growth levels. Watch for continued investment as enterprises balance modernization needs with the strategic imperative to integrate AI capabilities directly into their operational frameworks.Summarized by
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