Vertiv™ SmartRun's model-based digital twin capability helps accelerate AI factory design, simulation, and deployment workflows
Vertiv (NYSE: VRT), a global leader in critical digital infrastructure, announced progress in developing a production-level digital twin capability for Vertiv™ SmartRun integrated into 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 ever greater density and capacity, data centers need a faster and more reliable way to turn each generation of compute into real infrastructure. Traditional document-based processes and siled steps between power, cooling, control and deployment teams can't keep pace. The Vertiv SmartRun digital twin shifts planning to a model-based approach, allowing infrastructure to be designed, simulated and validated as a single system before construction. By capturing system configurations and dependencies in a virtual environment, it helps reduce late-stage design changes and integration risks, increases confidence through simulation, and accelerates the time from planning to operational readiness, while improving coordination between teams.
“AI infrastructure can no longer be planned for each individual processor generation,” 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 flows to be designed as a single, interdependent system. The Vertiv SmartRun digital twin helps codify Vertiv's infrastructure expertise into configurable, simulation-ready building blocks that support faster and more secure AI factory planning. Extending this approach to Vertiv™ OneCore Rubin DSX, Vertiv is helping customers translate future compute requirements into deployable physical infrastructures before those requirements reach full deployment scale.”
The Vertiv SmartRun digital twin represents the first phase of Vertiv's multi-phase digital twin roadmap for AI factories. Digital twins are designed to bridge the gap between accelerated innovation in computing and physical infrastructure readiness, preserving engineering intent from initial configuration and simulation through deployment, commissioning, lifecycle reliability and future optimization.
“AI factories require full-stack co-design between compute and physical infrastructure,” said Vladimir Troy, vice president of AI Infrastructure at NVIDIA. "The NVIDIA Omniverse DSX Blueprint helps the ecosystem build, simulate, and optimize gigawatt-scale AI factory digital twins using OpenUSD, SimReady assets, and power, thermal, and operational simulations. Integrating Vertiv SmartRun into this workflow can help customers evaluate infrastructure choices earlier and prepare for multiple generations of accelerated compute."
At Computex Taipei 2026, Vertiv showcased 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 flows. Built using Dassault Systèmes' model-driven 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 optimization across the lifecycle of AI factory infrastructure.
“Digital twins allow you to represent complex infrastructure systems 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 showed how Vertiv's AI infrastructure is moving from document-based design flows to an industrialized model-based systems engineering approach optimized for speed, quality and system-level performance.”
