Red Hat AI Factory with NVIDIA software platform is announced with new milestones as Red Hat and NVIDIA advance enterprise AI adoption and autonomous agent capabilities. The Red Hat AI Factory with NVIDIA software platform focuses on production-grade agentic AI, stronger security controls, and faster deployment from experimentation to scale. Additionally, it brings integrated AI capabilities across hybrid cloud environments.

Furthermore, the latest updates introduce enhanced security for continuously operating AI agents. These capabilities support organizations moving from pilots to production with greater confidence. Meanwhile, the platform combines Red Hat AI Enterprise consistency with NVIDIA AI Enterprise tools, open models, and frameworks to deliver a unified AI foundation.

In addition, OpenShell, an open source project founded by NVIDIA, plays a key role. It provides a sandboxed runtime for autonomous AI agents. It enables policy control, safer tool execution, and auditable operations. Moreover, it governs agent execution, access permissions, and inference routing. As a result, enterprises gain a unified policy layer for monitoring and control. Joint engineering is underway to integrate OpenShell with Red Hat’s AI platform. Also, Red Hat is contributing to the upstream OpenShell project to standardize agent management across hybrid cloud.

Furthermore, confidential computing extends security at the hardware level. The platform introduces confidential containers with NVIDIA Confidential Computing in Red Hat OpenShift sandboxed containers, currently in technology preview. This protects against runtime compromise even if another agent is breached. In addition, zero trust architecture is reinforced through SELinux, FIPS compliance, and NVIDIA DOCA-based runtime protection. Consequently, enterprises can strengthen security across distributed environments while addressing regulatory frameworks such as the EU AI Act.

Meanwhile, Red Hat AI Factory with NVIDIA software platform also integrates Red Hat AI 3.4 capabilities. It introduces a governed Model-as-a-Service experience through the Red Hat AI gateway. Developers gain access to curated models, including NVIDIA Nemotron, via OpenAI-compatible interfaces. Additionally, MLflow-based lifecycle management enables end-to-end tracing of LLM calls, tool execution, and reasoning steps. This improves auditability and operational governance for AI systems.

Furthermore, Red Hat Enterprise Linux for NVIDIA 26.01 is now generally available. It delivers Day 0 support for NVIDIA Blackwell architecture. Meanwhile, future co-engineering efforts are already planned for NVIDIA Vera Rubin support. In addition, NVIDIA Run:ai is included within NVIDIA AI Enterprise and is available for Red Hat AI Factory customers. This expands platform capabilities across the AI stack.

Additionally, validated NVIDIA AI Blueprints and quickstarts help accelerate deployment. These include Model-as-a-Service for unified API access, Enterprise Research for semantic reasoning over proprietary data, and Enterprise RAG and RAFT using NVIDIA NeMo Retriever with Red Hat governance controls. More blueprints are in development as part of the roadmap.

Availability is planned for later this month for Red Hat AI 3.4 and Red Hat AI Factory with NVIDIA updates. Customers can access Red Hat Enterprise Linux for NVIDIA builds through the Red Hat Customer Portal. The Red Hat AI Factory with NVIDIA software platform is already available.

Chris Wright, chief technology officer and senior vice president, Global Engineering, Red Hat, said, “Moving AI from corporate experimentation to an industrial engine requires a sovereign, consistent foundation across the hybrid cloud. Through our strategic co-engineering efforts with NVIDIA, Red Hat provides the architectural control and open source innovation enterprises need to scale agentic AI with confidence. By delivering a hardened, zero-trust path for organizations to own their intelligence, we are enabling our customers to maintain technical independence in an increasingly complex global landscape.”

Justin Boitano, vice president, Enterprise AI Platforms, NVIDIA, said, “Agentic AI is transforming enterprise operations. Every company will need an AI factory to build, deploy and govern digital workers at scale. Red Hat and NVIDIA are co-engineering the Red Hat AI Factory with NVIDIA, bringing NVIDIA OpenShell, NVIDIA Confidential Computing and the full AI stack together so enterprises can securely run their most demanding agentic AI workloads.”

In conclusion, Red Hat AI Factory with NVIDIA software platform strengthens enterprise AI security, governance, and scalability across hybrid cloud environments.

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