SUSE and Switch advance Digital Twin initiative with SUSE AI and NVIDIA DGX
SUSE and Switch outlined additional milestones in their partnership tied to Switch’s Digital Twin initiative and its AI Factories. The update matters to organizations managing large-scale computing operations where simulation, AI workloads, and data-center performance modeling run alongside each other.
The companies described a shared approach that uses SUSE AI, built on SUSE Rancher Prime and SUSE Linux Enterprise Server, alongside NVIDIA Omniverse libraries and NVIDIA DGX systems. Switch said it delivered digital twins of its data centers using NVIDIA Omniverse libraries, with orchestration for workloads that include language models, simulation and rendering on a single infrastructure.
The technical setup includes a real-time digital twin environment that continuously ingests operational data to model performance, predict outcomes, and optimize infrastructure before changes. Switch also described using NVIDIA Omniverse DSX Blueprint for AI Factory digital twins, and it listed SUSE AI as a governed GPU-optimized execution platform built on SUSE Rancher Prime and SUSE Linux Enterprise Server.
Switch said it integrated Omniverse libraries to support physically accurate simulation and AI/ML processing side-by-side on shared NVIDIA DGX systems. It also said the system was designed for air-gapped environments, included automated software update and management to reduce human error risk, provided enterprise-grade integration for large language models in a secure, manageable environment, and used the platform to run internal AI models. “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. “What we’re enabling with Switch is the shift from experimentation to execution, where AI, simulation, and real-time rendering run side-by-side on the same infrastructure. By providing a resilient, open source foundation, SUSE gives leaders the flexibility to integrate best-in-class technologies, like NVIDIA AI Enterprise and accelerated computing, on their own terms. We are providing the digital floor that ensures these massive AI workloads remain secure, manageable, and always available.” Zia Syed, Chief Technology Officer, Switch, said, “At Switch, we are engineering EVO AI Factory® software systems to unify AI, simulation, and real-time operations, with Living Data Center® EVO® as the operating plane.” The companies said their integration aimed to converge language models, simulation, and rendering within a single system.