SUSE launches AI Factory with NVIDIA for enterprise control

SUSE has launched SUSE AI Factory with NVIDIA, combining SUSE AI and NVIDIA AI Enterprise in a single software stack.

The launch marks SUSE's push to provide a standard way for large organisations to build, deploy and manage AI systems across private infrastructure, data centres, edge sites and cloud environments.

The platform targets enterprises trying to move AI projects from test environments into production while maintaining tighter control over deployment, governance and security. It brings together development tools, infrastructure software and management features in one package, with support for GitOps workflows and a Rancher-based management interface.

SUSE is also positioning the product for customers facing data sovereignty requirements. It is designed to let organisations use NVIDIA software and models while keeping sensitive data, logic and workloads inside their own infrastructure rather than moving them to third-party hosted services.

The approach reflects a wider market shift as companies look for ways to use AI under regulatory and internal compliance constraints. SUSE cited IDC research predicting that by 2028, 60% of Global 2000 enterprises will operate AI factories as core AI infrastructure.

Stack Design

The software stack includes SUSE AI and NVIDIA AI Enterprise, along with NVIDIA NIM microservices, open Nemotron models, NVIDIA NeMo, NVIDIA Run:ai, NVIDIA Kubernetes Operators, NVIDIA OpenShell and NVIDIA NemoClaw. The reference stack also uses SUSE's K3s technology to deploy autonomous AI agents.

Pre-validated blueprints are a central part of the offering. They are intended to give customers ready-made architectural patterns for common AI workloads that can be adapted for specific use cases. SUSE expects this to reduce setup time and lessen the need to integrate separate tools across the stack.

The product also includes zero-trust security and observability features tied to SUSE AI, SUSE Rancher Prime and SUSE Linux Enterprise Server. These are intended to apply governance controls to AI workloads built on NVIDIA technology.

Lifecycle management is another focus. Users can build and test applications in sandbox environments, while platform teams can oversee roll-outs through a single interface or through automated GitOps-based processes at larger scale.

"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," said Thomas Di Giacomo, Chief Technology and Product Officer, SUSE. "SUSE AI Factory with NVIDIA gives them a one-stop solution for end-to-end stability, security and sovereignty, while benefitting from today's and future AI innovation."

NVIDIA framed the partnership around regulated workloads and data control. The collaboration extends its push to place enterprise AI software in more on-premise and hybrid computing environments rather than relying solely on cloud-based deployment models.

"Enterprise adoption of AI is accelerating, creating demand for infrastructure that ensures data control and governance for regulated workloads," said John Fanelli, Vice President, Enterprise Software, NVIDIA. "Our collaboration with SUSE addresses this requirement by delivering an open, full-stack AI Factory built on a foundation of security and sovereignty."

Partner Interest

Fsas Technologies Europe, a Fujitsu company, is one of the launch partners backing the product. Its involvement points to interest among systems integrators and infrastructure suppliers in packages that combine hardware, software and governance controls for customers in tightly regulated sectors.

"Businesses are ready to use AI, but they need confidence that their data remains under control," said Udo Würtz, CTO, Fsas Technologies Europe - a Fujitsu company. "As a launch partner, SUSE AI Factory provides a stable, prescriptive foundation to combine NVIDIA's unmatched computing power and AI platform with SUSE's secure, open source infrastructure. By easing the integration, the unified solution allows us to focus on applying Fujitsu's industry-leading expertise in delivering a sovereign, end-to-end solution that meets the strictest data governance standards."

SUSE says the product is intended to give customers a single point of accountability across the full stack, including NVIDIA AI Enterprise components. For buyers, that could help address a common issue in enterprise AI projects, where responsibility for software support, integration and compliance is split across multiple vendors.

The product is expected to be available later this year.