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Red Hat, Nvidia pair enterprise open source with rack-scale AI
Expanded collaboration seeks to help organizations scale AI initiatives more confidently
The Asset   22 Jan 2026

Red Hat, a provider of open-source solutions, has expanded its collaboration with Nvidia to accelerate the adoption of enterprise AI technologies.

As companies shift from using single servers to integrated, high-capacity systems, Red Hat is introducing a new product: Red Hat Enterprise Linux for Nvidia. This specialized version of Linux is designed specifically for the Nvidia Rubin platform, enhancing its performance on Red Hat OpenShift and Red Hat AI.

"Nvidia's architectural breakthroughs have made AI an imperative, proving that the computing stack will define the industry’s future,” says Red Hat president and chief executive officer Matt Hicks. “To meet these tectonic shifts at launch, Red Hat and Nvidia aim to provide Day 0 support for the latest Nvidia architectures across Red Hat’s hybrid cloud and AI portfolios.”

Nvidia founder and CEO Jensen Huang adds: “Red Hat revolutionized enterprise computing with industrial-strength open-source software. In the age of AI, the entire computing stack – from chips and systems to middleware, models, and the AI lifecycle – is being reinvented from the ground up. Together, Nvidia and Red Hat are industrializing open source to bring AI to the enterprise, starting with the Vera Rubin platform."   

The platform includes the Vera CPU – considered the most power-efficient CPU for gigascale AI factories – the BlueField-4 data processor, and the Nvidia Vera Rubin NVL72 rack-scale solution. ( A rack-scale design treats the entire server rack as a single, unified computing platform rather than a collection of independent servers. ) 

Moving into 2026, many companies are ready to shift AI from experimental projects to everyday use, leveraging centralized AI tools and strategies. By optimizing its hybrid cloud portfolio for Nvidia’s breakthroughs, Red Hat says it aims to empower organizations to scale their AI initiatives more confidently, with enterprise-grade reliability and a consistent operational model.