SUSE announces Sovereign Control to Enterprise Agentic AI with NVIDIA

SUSE has introduced new capabilities enabling enterprises to adopt Private Enterprise AI while maintaining complete operational control, security, and governance over their systems. Available with SUSE AI Factory with NVIDIA, the latest release introduces zero-trust agent security via the NVIDIA OpenShell Reference Architecture alongside SUSE Linux Enterprise Server (SLES) for NVIDIA. The solution is designed to deliver immediate support for next-generation NVIDIA silicon. Together, these innovations provide a unified, enterprise-ready foundation for developers to build production AI applications and autonomous agents, platform engineering teams to deploy them, and enterprise IT to govern them across any footprint.

"As autonomous AI agents and next-generation silicon advancements reshape enterprise operations, AI sovereignty becomes non-negotiable," said Dr. Thomas Di Giacomo, Chief Technology and Product Officer at SUSE. "By combining enterprise Linux engineered for bleeding-edge hardware with active agent security, SUSE AI Factory with NVIDIA OpenShell equips IT teams to scale AI rapidly while keeping proprietary data, system availability, and budgets strictly under their control."

Purpose-Built Infrastructure: SLES for NVIDIA

SLES for NVIDIA empowers enterprises to accelerate AI workloads with immediate access to NVIDIA’s latest hardware innovations, including the NVIDIA Vera Rubin infrastructure at the heart of the NVIDIA OpenShell Reference Architecture. As a proven, trusted, enterprise-grade Linux foundation, SLES for NVIDIA is designed to scale seamlessly to rack-scale architectures, bridging rapid silicon innovation with strict operational stability and security. By keeping the underlying infrastructure in lockstep with NVIDIA’s fast-paced release cycles, enterprises gain instant access to peak performance without integration friction or risking system stability.

Key benefits include -

• Accelerates Day-Zero Hardware Adoption: Runs AI workloads on cutting-edge NVIDIA silicon immediately while leveraging a trusted enterprise SLES 16 base, delivering maximum productivity without compromising security or compliance.

·  Eliminates Production Deployment Friction: Bridges development and production into a unified enterprise footprint, ensuring complete compatibility without requiring replatforming or rewriting code.

·  Consolidates Enterprise Support: Delivers single-source technical support backed by continuous automated validation across the operating system, Linux kernel, GPU driver stack, and Kubernetes runtime, guaranteeing unbroken stack compatibility while eliminating support friction.

SUSE Integrates NVIDIA OpenShell Reference Architecture to Secure Autonomous AI Agents
 SUSE is enhancing enterprise security for autonomous AI agents by integrating the new NVIDIA OpenShell Reference Architecture into SUSE AI Factory with NVIDIA. The architecture brings together NVIDIA Vera Rubin for model inference, NVIDIA Vera CPUs running OpenShell for agent execution, and NVIDIA BlueField-4 DPUs running NVIDIA DOCA-powered NVIDIA Sentry for host-independent monitoring and in-silicon policy enforcement. As a launch partner for the OpenShell Reference Architecture, SUSE is helping deliver an open, industrial-scale architecture for building, isolating, observing, and governing autonomous AI agents with enterprise-grade security. As businesses increasingly deploy autonomous AI agents to execute complex workflows, they need security policies that control access, protect credentials, and restrict untrusted network activity. By leveraging Kubernetes sandboxing and API gateways alongside OpenShell, SUSE AI Factory with NVIDIA provides a governed environment that controls agent execution while maintaining peak performance, including:

• Active Zero-Trust Governance: Supervisor proxies continually inspect agent traffic, authorize access according to defined policies, and block unauthorized network requests to help prevent code or data exfiltration.

·  Data Sovereignty & Compliance: Supports agent code execution within the corporate perimeter, with access policies that restrict transfers of enterprise IP and proprietary datasets outside private infrastructure.

·  Predictable Cost Model: Private model serving, leveraging NVIDIA NIM microservices, eliminates third-party per-token public API fees with predictable capacity-based infrastructure investments.