Vertiv has announced progress on a production-grade digital twin capability for Vertiv SmartRun integrated in the NVIDIA Omniverse DSX Blueprint, advancing the company’s roadmap to make artificial intelligence (AI) factory infrastructure more configurable, repeatable, and simulation-ready.
As AI deployments scale to higher densities and larger capacities, data centres need a faster, more reliable way to turn each generation of computing into real-world infrastructure. Traditional, document-based processes and siloed handoffs across power, cooling, controls, and deployment teams cannot keep pace. Vertiv SmartRun digital twin shifts planning to a model-based approach, allowing infrastructure to be designed, simulated, and validated as a single system before build-out. By capturing system configurations and dependencies in a virtual environment, it helps reduce late-stage design changes and integration risk, improve confidence through simulation, and accelerate time from planning to operational readiness—while improving coordination across teams.
Commenting on the development, chief product and technology officer at Vertiv, said, “AI infrastructure can no longer be planned one compute generation at a time. To deliver more tokens per second per megawatt, customers need power, cooling, controls, and deployment workflows to be designed as one interdependent system. The Vertiv SmartRun digital twin helps encode Vertiv’s infrastructure expertise into configurable, simulation-ready building blocks that support faster, more confident AI factory planning. As we extend this approach to Vertiv OneCore Rubin DSX, Vertiv is helping customers translate future compute requirements into deployable physical infrastructure before those requirements reach full deployment scale.”
The Vertiv SmartRun digital twin is the first phase in Vertiv’s multi-phase AI factory digital twin roadmap. Digital twins are designed to help close the gap between accelerated compute innovation and physical infrastructure readiness, preserving engineering intent from early configuration and simulation through deployment, commissioning, lifecycle assurance, and future optimisation.
Meanwhile, vice president of AI Infrastructure at NVIDIA, said, “AI factories require full-stack co-design across compute and physical infrastructure. NVIDIA Omniverse DSX Blueprint helps the ecosystem build, simulate, and optimise gigawatt-scale AI factory digital twins using OpenUSD, SimReady assets, and power, thermal, and operational simulations. Bringing Vertiv SmartRun into this workflow can help customers evaluate infrastructure choices earlier and prepare for multiple generations of accelerated computing.”
In addition, vice president of high-tech industry at Dassault Systèmes, said, “Digital twins allow complex infrastructure systems to be represented with the intelligence of their configuration rules, dependencies, and engineering inten. At Computex, Vertiv, Dassault and NVIDIA demonstrate how Vertiv’s AI factory infrastructure is moving from document-based design workflows toward an industrialised, model-based systems engineering approach optimised for speed, quality, and system-level performance.”
