Vultr has chosen Hewlett Packard Enterprise (HPE) and Nvidia for extensive AI data centre implementations to meet the fast-rising enterprise demand for private cloud and AI solutions.
The move will see Vultr implement AI infrastructure built on Nvidia GB300 NVL72 systems by HPE, with networking provided by Nvidia Spectrum-X Ethernet.
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The new deployments form part of Vultr’s global strategy to expand its AI infrastructure, incorporating hyperscale graphics processing unit (GPU) clusters and high-speed networking using 400GbE and 800GbE connections.
Future facilities are set to use rack-scale systems featuring Nvidia accelerated computing and HPE liquid cooling, along with additional services and operational support from both vendors.
The infrastructure will deliver a scalable AI platform, which is designed to support model training, inference workloads, and decentralised cloud environments.
Vultr CEO JJ Kardwell said: “As a powerful extension of our global cloud infrastructure platform, Vultr is deploying dedicated AI infrastructure focused on GPU architecture and AI inference to accelerate customer innovation while maintaining cost efficiency.
“AI infrastructure remains significantly underbuilt globally, and enterprises increasingly require high-performance AI compute integrated seamlessly at the edge. We are expanding our capabilities with a focus on supporting enterprise demand for decentralised, latency-sensitive workloads across Vultr’s extensive global network.”
The arrangement will also draw on HPE’s experience in building and operating supercomputing environments, with the company providing AI services, deployment support, optimisation, and lifecycle management in connection with these new facilities.
HPE confirmed that it will deliver AI factory architecture with Nvidia for Vultr’s data centre expansion. These solutions will include compute, networking, and operational platforms intended to support large-scale GPU clusters and future-ready AI deployments.
As Vultr continues to increase its investments in data centres, the partnership is expected to support its GPU-as-a-service offering, with connectivity elements such as Nvidia Spectrum-X Ethernet switches, optical transceivers, and SuperNICs specifically aimed at supporting high-density AI clusters.
Earlier this month, Siemens, alongside Nvidia and Fluence, launched a reference architecture intended for data centres supporting Nvidia’s AI factory platforms.
