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HPE Wins $1.2 Billion AI Infrastructure Deal

Hewlett Packard Enterprise (HPE) has secured a $1.2 billion order from cloud infrastructure provider Vultr for AMD Helios AI rack systems

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HPE Wins $1.2 Billion AI Infrastructure Deal

Hewlett Packard Enterprise (HPE) has secured a $1.2 billion order from cloud infrastructure provider Vultr for AMD Helios AI rack systems, underscoring how rapidly artificial intelligence is reshaping the global data-centre infrastructure market. It is HPE’s first order for the new Helios platform.

Under the agreement, Vultr will deploy the systems across its U.S. data centres to support increasingly compute-intensive AI training and inference workloads. The deployment brings together AMD accelerators and processors with HPE networking, software and liquid-cooling capabilities.

Each Helios rack integrates 72 AMD Instinct MI455X GPUs, AMD EPYC “Venice” CPUs and AMD Pensando networking, alongside six HPE Juniper Networking QFX5252 Ethernet switch trays. This illustrates how AI infrastructure is moving beyond standalone servers toward tightly integrated rack-scale architectures.

The bigger story, however, is networking. As thousands of AI accelerators work together, moving data rapidly between processors becomes critical. AI performance increasingly depends not only on GPUs, but also on high-speed networking, cooling, power and orchestration.

That shift is strengthening HPE’s outlook. The company now expects networking revenue to grow at a high-teens compound annual rate from fiscal 2026 through 2029, substantially above its earlier long-term projection.

HPE’s acquisition of Juniper Networks is also becoming strategically important. By combining compute with Juniper networking, HPE can compete for a larger share of AI infrastructure spending rather than remaining primarily a server supplier. It has also raised its targeted annual run-rate cost savings from the acquisition to $800 million by fiscal 2028.

The Vultr order signals the next phase of the AI race: competition is shifting from individual chips to complete AI factories. Servers, accelerators, networking, cooling and software are converging into integrated platforms—and vendors capable of delivering the entire stack could capture the biggest opportunity from the global AI infrastructure boom.