Vertiv, a global leader in critical digital infrastructure, 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 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 can’t 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.
“AI infrastructure can no longer be planned one compute generation at a time,” said Scott Armul, chief product and technology officer at Vertiv. “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.
“AI factories require full-stack co-design across compute and physical infrastructure,” said Vladimir Troy, vice president of AI Infrastructure at NVIDIA. “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.”
At Computex Taipei 2026, Vertiv will demonstrate Vertiv SmartRun as both a physical infrastructure system and a configurable digital twin, allowing attendees to explore configuration scenarios and see how model-based design choices can support downstream infrastructure planning, coordination, and simulation workflows.
Created using Dassault Systèmes model-based systems engineering capabilities on the 3DEXPERIENCE platform and connected to NVIDIA Omniverse DSX workflows, the demonstrator establishes a shared digital foundation for configuration, simulation, validation, and future optimisation across the AI factory infrastructure lifecycle.
“Digital twins allow complex infrastructure systems to be represented with the intelligence of their configuration rules, dependencies, and engineering intent,” said Stéphane Sireau, vice president of high tech industry at Dassault Systèmes. “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.”
See the video “Simulation-ready converged physical infrastructure for AI at scale” to learn more about leveraging digital twin for Vertiv’s solutions for AI infrastructure.
