Red Hat, the global leader in open source solutions, unveiled the Red Hat AI Factory with NVIDIA, a co-engineered software platform that merges Red Hat AI Enterprise with NVIDIA AI Enterprise. By offering an end-to-end AI solution, the platform enables organizations to deploy AI at scale efficiently. Moreover, this collaboration marks a significant milestone in the companies’ ongoing partnership, accelerating access to the latest AI innovations for enterprise customers while delivering Day 0 support for NVIDIA hardware architectures.

With enterprise AI investments projected to surpass $1 trillion by 2029, largely fueled by agentic AI applications, businesses are rethinking their strategies to manage high-density, agentic workflows. Consequently, the demand for optimized AI inference and infrastructure is surging. To address these challenges, Red Hat AI Factory with NVIDIA empowers IT operations teams to seamlessly manage both traditional infrastructure and evolving AI workloads, helping enterprises remain competitive in this rapidly growing landscape.

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In addition, the platform expedites production AI deployment by providing a robust software foundation for AI factories. Running on accelerated computing infrastructure, it enhances model performance while leveraging NVIDIA GPUs to power the inference stack. Supported on AI factory infrastructure from major systems manufacturers such as Cisco, Dell Technologies, Lenovo, and Supermicro, the platform enables IT administrators to scale AI deployments with the same operational rigor applied to any enterprise workload.

By integrating the open source collaboration and engineering expertise of Red Hat and NVIDIA, the co-engineered solution delivers a trusted, enterprise-grade platform suitable for on-premises, cloud, or edge deployments. The solution includes core capabilities for high-performance AI inference, model tuning, customization, and agent deployment management, with a strong emphasis on security. Organizations can maintain architectural control across the data center and public cloud, while enjoying several key benefits:

  • Accelerated time-to-value: Organizations can advance to production AI quickly using pre-configured models such as the indemnified IBM Granite family, NVIDIA Nemotron, and NVIDIA Cosmos open models, delivered as NVIDIA NIM microservices. Further, models can be aligned to enterprise data with NVIDIA NeMo, reducing tuning time and cost.
  • Optimized performance and cost: The platform maximizes infrastructure utilization and enhances inference performance through a unified serving stack. Built-in observability and Red Hat AI inference capabilities powered by vLLM, NVIDIA TensorRT-LLM, and NVIDIA Dynamo help organizations meet strict AI service-level objectives while lowering total cost of ownership.
  • Intelligent GPU orchestration: The software enables on-demand GPU access through pooled infrastructure, with automatic checkpointing to safeguard long-running jobs and ensure predictable compute costs.
  • Strengthened enterprise posture: Built on the stable foundation of Red Hat Enterprise Linux, organizations benefit from advanced security and compliance features, reducing risk and downtime. NVIDIA DOCA microservices further establish a zero-trust architecture, delivering AI runtime security across the infrastructure.

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Chris Wright, chief technology officer and senior vice president, Global Engineering, Red Hat, said: “The shift from AI experimentation to industrial-scale, enterprise-wide production requires a fundamental change in how we manage the AI computing stack. We’re accelerating the path to deploy AI and move quickly to production using Red Hat AI Factory with NVIDIA. With a stable, high-performance foundation driven by our proven hybrid cloud offerings, we’re enabling our customers to own their AI strategy and scale with the same rigor they apply to their core IT platforms.”

Justin Boitano, vice president, Enterprise AI Platforms, NVIDIA, added: “Enterprises are building AI factories that turn data into intelligence at scale during inference, requiring production-grade infrastructure and software that span the hybrid cloud. Red Hat AI Factory with NVIDIA provides the software foundation that helps organizations keep pace with rapid infrastructure innovation while reliably building and deploying the next generation of agentic AI applications.”

Industry leaders echoed similar sentiments. Representatives from Cisco, Dell Technologies, Lenovo, Supermicro, TD SYNNEX, and WWT emphasized that the platform simplifies AI deployment, enhances operational consistency, and accelerates time-to-value across distributed enterprise environments.

Red Hat AI Factory with NVIDIA is available now, positioning enterprises to operationalize AI faster while maintaining performance, security, and cost efficiency at scale.

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