Switch Advances AI Factories On SUSE Open Infrastructure

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Open Source Infrastructure Powers Digital Twin AI Factories On NVIDIA Systems
Open Source Infrastructure Powers Digital Twin AI Factories On NVIDIA Systems

SUSE and Switch are using open source infrastructure with NVIDIA to unify AI, simulation and rendering on shared systems, advancing digital twins for more efficient and resilient AI factories.

At SUSECON 2026, SUSE and Switch announced new milestones in their partnership to accelerate Switch’s Digital Twin initiative and operationalise next-generation AI Factories, using open source infrastructure as the foundation. Switch is deploying SUSE AI, built on SUSE Rancher Prime and SUSE Linux Enterprise Server, alongside NVIDIA Omniverse libraries and NVIDIA DGX systems to run digital twins and AI workloads on shared infrastructure.The architecture converges language models, simulation, rendering and real-

time operations on a unified enterprise-grade platform, replacing traditionally siloed systems. Switch has also adopted the NVIDIA Omniverse DSX Blueprint to speed AI Factory digital twin development.

The digital twins simulate power usage, thermal dynamics and infrastructure performance at scale, aimed at improving efficiency, resilience and predictive optimisation before changes are made in the physical world. The shared infrastructure also enables physically accurate simulation and AI/ML processing side-by-side on GPU-optimised systems.

“In the race to scale AI, organizations shouldn’t have to choose between cutting-edge innovation and operational stability,” said Rhys Oxenham, General Manager of AI, SUSE. “By providing a resilient, open source foundation, SUSE gives leaders the flexibility to integrate best-in-class technologies… on their own terms.”

“At Switch, we are engineering EVO AI Factory software systems to unify AI, simulation, and real-time operations,” said Zia Syed, Chief Technology Officer, Switch.

The companies also highlighted security for air-gapped deployments, automated software management, and interoperability designed to reduce vendor lock-in while supporting mission-critical AI applications.

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