Want to run your own digitally sovereign AI on Nvidia hardware? SUSE has the software stack you need.At SUSECON 2026 this week in Prague, the Czech Republic, European open-source powerhouse SUSE announced SUSE AI Factory with Nvidia, a turnkey, pre‑validated AI platform. The name of its game is to help enterprises and governments build, deploy, and scale mission‑critical AI while meeting strict regulatory and digital sovereignty requirements.Built on SUSE AI and Nvidia AI Enterprise, SUSE is positioning the AI factory as a unified software stack that standardizes how AI applications are developed and run, from local sandboxes to data centers to clouds to everything in between. As the name suggests, SUSE representatives say the platform serves as a digital production line for AI. As such, it provides organizations with consistent tools for assembling, managing, and governing AI workloads at scale.Rhys Oxenham, SUSE’s VP and General Manager of AI, explained in a panel that the company “realized that there was a critical missing link within our technology portfolio, and that was creating an assembly line for organizations to onboard, provision, lifecycle, manage, observe, and secure AI infrastructure across the various deployment footprints.”Under the hood, SUSE AI Factory is an automated full‑software‑stack platform that builds on SUSE Rancher Prime and SUSE Linux Enterprise Server (SLES). This portion will be marketed, Oxenham said in his address, as SUSE AI Factory. “This is going to be built directly on top of SUSE Rancher Prime. You’ll be able to integrate and leverage it very easily.”“SUSE AI Factory with NVIDIA takes that assembly line and supercharges it with NVIDIA AI Enterprise,” he continued. Specifically, Nvidia contributes: Nvidia NIM microservices for model serving; open Nemotron models; Nvidia NeMo for building and managing AI agents; Nvidia Run:ai for GPU orchestration; Nvidia Kubernetes Operators; and the Nvidia OpenShell secure runtime and Nvidia NemoClaw. The last uses SUSE’s lightweight K3s Kubernetes distribution to deploy secure autonomous AI agents.According to SUSE, developers can prototype and test AI applications in sandbox environments, while platform teams promote workloads into production through either a unified Rancher‑based interface or GitOps‑driven workflows for fleet‑scale management. This standardized pipeline is designed to reduce setup time, cut operational overhead, and eliminate the need to juggle disparate tools and scripts.In short, Oxenham said, “No matter where you want to deploy Nvidia AI Enterprise, SUSE AI Factory has that covered. We’re doing tight integration between all components, extending our security and observability frameworks to everything.”Thomas Di Giacomo, SUSE’s Chief Technology and Product Officer, added at the panel. “AI developers, users, and operations teams are in a catch-22 with AI; they want to innovate quickly, but must secure these types of workloads, agents, and processes to ensure full auditability before fully running them in production. SUSE AI Factory with Nvidia gives them a one-stop solution for end-to-end stability, security, and sovereignty, while benefiting from today’s and future AI innovation.”This package comes with four main capabilities.Prescriptive, turnkey blueprints: Pre‑validated architectures that combine SUSE and Nvidia components, which customers can extend into bespoke workloads.Zero‑trust security and observability: AI workloads inherit hardening from SUSE’s stack, wrapped in zero‑trust guardrails and governance frameworks intended to keep infrastructure stable, predictable, and resilient against emerging risks.Deployment and lifecycle simplicity: A unified user experience to deploy and manage AI workloads from developer laptops to air‑gapped edge clusters, regardless of scale.Sovereignty and unified support: Customers retain full control of their physical infrastructure, data, and models to meet stringent regulations, such as the EU AI Act, and to deliver digital sovereignty. At the same time, SUSE will provide a single point of accountability across the full stack, including Nvidia AI Enterprise components.Make no mistake about it, Digital sovereignty is an important part of this new AI Factory approach. Fsas Technologies Europe, a Fujitsu company and launch partner, will use AI Factory with Nvidia as a foundation for its own sovereign AI offerings.“Businesses are ready to use AI, but they need confidence that their data remains under control,” says Udo Würtz, the company’s CTO. He continues, the platform provides “a stable, prescriptive foundation to combine Nvidia’s unmatched computing power and AI platform with SUSE’s secure, open-source infrastructure.” This will enable Fsas to focus on delivering sovereign, end‑to‑end solutions to its customers that meet the strictest data governance standards.A preview of SUSE AI Factory with Nvidia is being showcased at the trade show. SUSE promises the programs will be generally available later in 2026. This launch reinforces SUSE’s broader strategy to position itself as the provider of choice for sovereign, AI‑ready open‑source infrastructure, spanning Linux, Kubernetes, edge, and AI. Will the company be successful? For what it’s worth, the early reaction from SUSE’s partners and customers was positive. The post SUSE and Nvidia reveal a turnkey AI factory for sovereign enterprise workloads appeared first on The New Stack.