Friday Five — January 9, 2026

Friday Five — January 9, 2026 Red Hat Expands Collaboration with NVIDIA to Pair Enterprise Open Source with Rack-Scale AI for Faster, Production-Ready Innovation Wired - Jensen Huang Says NVIDIA's New Vera Rubin Chips Are in ‘Full Production’ SDxCentral - AI inferencing will define 2026, and the market's wide open Technically Speaking - Build a production-ready AI toolbox ft. Cat Weeks The AI resolution that will still matter in 2030 About the author Red Hat Corporate Communications More like this Accelerating success with the Red Hat Partner Program Smarter troubleshooting with the new MCP server for Red Hat Enterprise Linux (now in developer preview) Technically Speaking | Build a production-ready AI toolbox AI Is Changing The Threat Landscape | Compiler Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Red Hat and NVIDIA have expanded their collaboration to launch Red Hat Enterprise Linux for NVIDIA, a specialized platform designed to provide Day 0 support for the NVIDIA Rubin architecture. This partnership aims to industrialize open source AI by providing a secure, stable, and unified infrastructure that scales enterprise AI workloads across hybrid cloud environments. Learn more NVIDIA CEO Jensen Huang announced at CES 2026 that the Vera Rubin next-generation AI platform is in full production, with first customer deliveries expected in the second half of the year. The company is working with Red Hat to offer more products that will run on the new Rubin chip system. Learn more Industry experts predict 2026 will be the breakout year for AI inference as the market shifts from massive centralized training to discrete, real-time production workloads like agentic AI and edge computing. This evolution has sparked intense competition between established hyperscalers and specialized neoclouds, as well as hardware and storage providers racing to optimize the infrastructure required for continuous, data-centric AI operations. Learn more Turning an AI demo into a production-ready business asset requires a fundamental shift in strategy. While massive frontier models drive hype, a sustainable production architecture is built on a diverse toolbox of specialized, cost-effective models. Learn how to build a production-ready "AI Toolbox" on this episode of Technically Speaking. Learn more The AI industry's current marketing relies on manufactured urgency and fear, which often pushes leaders toward black box solutions instead of sustainable strategies. To counter this, the author advocates for a foundation of transparency and deliberate planning in infrastructure and data governance, asserting that long-term success comes from building systems that are understandable and stable rather than just moving fast.