Vultr Selects HPE and NVIDIA for Next-Generation AI Infrastructure for Cloud-Scale Data Centers

Key Terms

gpu-as-a-service technical

GPU-as-a-Service is a pay-as-you-go model that lets businesses rent powerful graphics processing units (GPUs) over the internet instead of buying the hardware outright. It matters to investors because it lowers upfront costs and speeds time-to-market for companies using AI, data analysis, or 3D rendering—similar to renting a high-performance car for a specific trip rather than owning one—and can make firms more flexible, scalable, and capital-efficient.

ethernet technical

A wired networking technology that moves data between devices over cables, like a dedicated highway that carries information reliably and quickly across offices, factories, and data centers. Investors care because ethernet underpins the performance and cost of digital services and infrastructure—demand for faster, more reliable wired networks drives spending on hardware, installation and upgrades, which affects manufacturers, service providers and companies that rely on heavy data flow.

optical transceivers technical

Optical transceivers are small hardware modules that convert electrical signals into pulses of light and back again so data can travel over fiber-optic cables; think of them as translators that let computers and network equipment “talk” over long distances at very high speed. They matter to investors because demand, supply constraints, and price changes for these components directly affect the growth and profitability of companies serving data centers, telecom networks, and cloud services, similar to how a shortage of car engines would impact auto makers.

liquid cooling technical

Liquid cooling is a method that uses a flowing liquid—like water or a special coolant—to carry heat away from electronic components, similar to how a car radiator moves heat away from an engine. For investors, it matters because it can lower energy and maintenance costs, enable higher-performance computing, reduce the footprint of data centers, and support sustainability targets, all of which can affect a company’s operating margins and capital spending needs.

inference technical

Inference is the process of drawing a conclusion from available evidence or data, like a detective piecing together clues to form a likely story. For investors it matters because these judgments turn raw reports, test results, or market signals into expectations about future performance, risk, or regulatory outcomes—so how someone infers from the same facts can change investment decisions and valuation.

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Vultr leverages HPE and NVIDIA to support a global AI cloud platform designed to help customers move faster in the AI era

LAS VEGAS--(BUSINESS WIRE)-- HPE Discover Las Vegas 2026--HPE (NYSE: HPE) today 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 optimized 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 center architectures designed to support the next wave of global AI growth.”

Enterprises, cloud providers and other organizations 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 specialized AI services, deployment expertise, and lifecycle support required to design, integrate, optimize, 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 decentralized, latency-sensitive workloads across Vultr’s extensive global network.”

Vultr continues to make large-scale infrastructure investments that require high-performance AI systems, networking, and data center expertise to support the rapid expansion of its GPU-as-a-service capabilities that will power enterprise AI and private cloud deployments. New developments will include a large-scale NVIDIA Spectrum-X™ Ethernet networking featuring 400GbE and 800GbE interconnects, optical transceivers, and NVIDIA Spectrum-X Ethernet switches and SuperNICs, engineered to support dense, large-scale AI clusters and GPU rack-scale connectivity across new AI data center environments.

Recent HPE News:

• HPE introduces CPU server with NVIDIA-Vera CPU, purpose-built for Agentic AI
• HPE transforms distributed AI factories into intelligent AI grid powered by NVIDIA
• HPE accelerates secure, scalable production-ready AI through new innovations with NVIDIA

About HPE

HPE (NYSE: HPE) is a leader in essential enterprise technology, bringing together the power of AI, cloud, and networking to help organizations achieve more. As pioneers of possibility, our innovation and expertise advance the way people live and work. We empower our customers across industries to optimize operational performance, transform data into foresight, and maximize their impact. Unlock your boldest ambitions with HPE. Discover more at www.hpe.com.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260617909023/en/

Media Contact:
Ben Stricker
ben.stricker@hpe.com

Source: Hewlett Packard Enterprise