HPE announced Vultr, the world’s largest privately held hyperscaler, has selected HPE and NVIDIA for large-scale AI datacenter deployments designed to support rapidly growing enterprise demand for private cloud and AI workloads.

Vultr has selected the NVIDIA GB300 NVL72 by HPE connected with NVIDIA Spectrum-X Ethernet networking, part of the NVIDIA AI Computing by HPE portfolio, to power its next-generation AI infrastructure environments designed for enterprise-scale AI workloads. These deployments combine HPE’s AI factory capabilities with NVIDIA accelerated computing, networking, and software to deliver a scalable, production-ready AI platform optimised for high-performance model training and inference.

The deployments will support Vultr’s next phase of global AI infrastructure expansion and reinforce the company’s strategy to advance its cloud provider strategy. As an expansion of Vultr’s broader cloud offerings, future facilities will incorporate rack-scale systems powered by NVIDIA accelerated computing and high-performance networking technologies, in addition to HPE’s unique liquid cooling technology, services, and expertise.

“HPE, Vultr, and NVIDIA are building AI infrastructure designed for the future of AI and the agentic enterprise,” said Antonio Neri, president and CEO, HPE. “Vultr represents a new generation of AI cloud providers, and the company’s selection of HPE validates the importance of AI data centre architectures designed to support the next wave of global AI growth.”

Enterprises, cloud providers and other organisations continue to turn to HPE as a key provider of AI infrastructure as they invest in large-scale GPU environments. HPE is delivering AI factory architecture with NVIDIA for Vultr, including compute, networking, and operational platforms designed to support hyperscale-class AI clusters. Drawing on decades of experience building and operating some of the world’s largest supercomputing environments, HPE will provide the specialised AI services, deployment expertise, and lifecycle support required to design, integrate, optimise, and sustain complex enterprise-scale AI projects.

"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,” said J.J. Kardwell, CEO, Vultr. “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.”