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SUSE Launches SUSE AI Factory with NVIDIA

Source Decision Insights Record Published April 21, 2026 Companies 4
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4 companies named across 6 categories, one of 443 articles referencing Nvidia. Previous coverage: SK hynix Begins Mass Production of 192GB SOCAMM2 'Setting a New Standard for AI Server Memory Performance' (Apr 2026).

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SUSE outlined SUSE AI Factory with NVIDIA, describing it as a packaged software stack for deploying and operating enterprise AI workloads across different environments. The company framed the effort around providing a standardized path from development through production while addressing security and data control requirements.

The release tied the initiative to digital sovereignty and control of sensitive logic and proprietary data within private infrastructure. It cited an IDC FutureScape prediction that AI factories would be used by a majority of Global 2000 enterprises by 2028 and said governments without such systems would deploy AI more slowly, according to that study.

Functionally, SUSE AI Factory was presented as an automated, full-software-stack that standardizes how AI applications are built, tested, deployed, and run. It described users building and testing in a sandbox environment, then managing deployments through either a Rancher-based interface or automated GitOps workflows. The stack also referenced pre-validated prescriptive blueprints, zero-trust security and observability wrapping NVIDIA deployments, and a governance approach intended to keep AI infrastructure stable and hardened.

The release listed NVIDIA components included in the stack: NVIDIA NIM microservices, open Nemotron models, NVIDIA NeMo for building and managing agents, NVIDIA Run:ai for GPU orchestration, NVIDIA Kubernetes Operators, NVIDIA OpenShell secure runtime for agents, and NVIDIA NemoClaw, using SUSE K3s technology as a reference stack for deploying more secure autonomous AI agents. It also said a preview would be demonstrated at SUSECON and that SUSE AI Factory with NVIDIA was expected to be available later this year.

“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 at 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.” “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.”

Press release, provided by Globe Newswire on behalf of SUSE. Read the original.

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