HPE secures $1.2 billion AI infrastructure order from Vultr

October 4, 2026 at 01:44 PM2 min

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Hewlett Packard Enterprise has secured a $1.2 billion order from cloud provider Vultr for AMD Helios AI rack systems. The deal marks HPE's first order for the new Helios platform and will deploy systems across Vultr's U.S. data centers. The agreement underscores the shift toward integrated rack-scale AI infrastructure.

Key Facts

HPE secured a $1.2 billion order from Vultr for AMD Helios AI rack systems.
Each Helios rack integrates 72 AMD Instinct MI455X GPUs, AMD EPYC 'Venice' CPUs, and AMD Pensando networking.
HPE expects networking revenue to grow at a high-teens compound annual rate from fiscal 2026 through 2029.
HPE raised its targeted annual run-rate cost savings from the Juniper Networks acquisition to $800 million by fiscal 2028.

The Vultr Order

Hewlett Packard Enterprise has secured a $1.2 billion order from cloud infrastructure provider Vultr for AMD Helios AI rack systems. It is HPE's first order for the new Helios platform. Vultr will deploy the systems across its U.S. data centers to support AI training and inference workloads. 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.

Networking and Growth Outlook

As thousands of AI accelerators work together, moving data rapidly between processors becomes critical. HPE 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 becoming strategically important, allowing HPE to combine compute with Juniper networking. HPE has raised its targeted annual run-rate cost savings from the acquisition to $800 million by fiscal 2028.

AI Infrastructure Shift

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. Vendors capable of delivering the entire stack could capture the biggest opportunity from the global AI infrastructure boom.