NVIDIA shows agent-assisted OpenUSD workflow for AI factory digital twins
NVIDIA published a technical blog post demonstrating an agent-assisted workflow that turns reference assets, site data and design requirements into an editable OpenUSD campus model. The workflow is built on the NVIDIA Omniverse DSX Blueprint, part of NVIDIA DSX Sim, which supplies reference digital twin assets, sample scripts and workflows built on OpenUSD and NVIDIA Omniverse libraries with SimReady assets. NVIDIA says frontier AI models can help developers work with this foundation through agents and connected tools, with developers guiding agents to assemble and revise OpenUSD scenes while engineers review results to inform the next design iteration. The post also references work by Dassault Systèmes, PTC, Cadence and Siemens on connecting design, product data and simulation tools to the digital twin.
The post outlines how NVIDIA wants agentic AI to sit inside AI factory design, letting teams explore layouts and revise equipment placement in OpenUSD before engineering review and downstream simulation.
Building an AI factory digital twin requires developers to bring site plans, equipment assets, and engineering requirements into a consistent model that teams can inspect, revise, and prepare for simulation. Connecting these inputs into an editable workflow helps teams explore design alternatives and incorporate engineering feedback as the design evolves.
The NVIDIA Omniverse DSX Blueprint, part of NVIDIA DSX Sim, provides reference digital twin assets, sample scripts, and workflows for developing AI factory digital twins. Built on OpenUSD and NVIDIA Omniverse libraries, the blueprint gives developers a foundation for assembling facility and equipment models with SimReady assets, and connecting them with engineering simulation tools.
Frontier AI models can help developers work with this foundation through agents and connected applications and tools, as explained in Into the Omniverse: How Developers Turn Ideas Into Simulations with Frontier AI Agents. Developers guide agents to bring together design inputs, assemble and revise OpenUSD scenes, and inspect the results. The blueprint supplies reusable assets and workflows, and the agents help developers apply and adapt them to specific design requirements (Figure 1).
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