Vertiv has announced a major step forward in AI infrastructure planning with the development of a production-grade digital twin capability for Vertiv SmartRun, integrated into the NVIDIA Omniverse DSX Blueprint.
The new digital twin solution is designed to help data center operators and AI infrastructure providers accelerate the deployment of next-generation AI factories by enabling infrastructure to be configured, simulated, and validated in a virtual environment before physical construction begins.
As AI workloads continue to drive demand for higher-density computing and larger-scale deployments, Vertiv aims to replace traditional document-based planning methods with a model-based systems engineering approach. The SmartRun digital twin captures infrastructure configurations, dependencies, and engineering requirements in a virtual model, helping organizations reduce design errors, improve collaboration across teams, and shorten deployment timelines.
The initiative is part of Vertiv’s broader AI factory digital twin roadmap and supports infrastructure planning across power, cooling, controls, and deployment systems. By integrating with NVIDIA Omniverse DSX, the platform enables simulation of power, thermal, and operational performance using OpenUSD-based digital twin workflows.
Vertiv is also collaborating with Dassault Systèmes, leveraging its 3DEXPERIENCE platform and model-based systems engineering capabilities to create simulation-ready infrastructure models that can be optimized throughout the AI factory lifecycle.
The technology will be showcased at Computex Taipei 2026, where attendees can explore how digital twins can streamline AI infrastructure planning, validation, commissioning, and future upgrades.
The announcement highlights the growing role of digital twin technology in supporting the rapid expansion of AI data centers, enabling organizations to bridge the gap between accelerating compute demands and the physical infrastructure required to support them.
