NVIDIA outlines an agent-assisted workflow for AI factory digital twins
- NVIDIA’s Omniverse DSX Blueprint provides reference assets and workflows for building AI factory digital twins on OpenUSD and Omniverse libraries.
- The demonstrated process combines site information, engineering documents, and equipment data into an editable campus model for layout review and engineering handoff.
- Agents can help assemble or revise scenes through connected modeling and analysis tools, but engineers must check dimensions, assumptions, and data needed for simulation.
- SimReady guidance helps teams check whether assets have the geometry, properties, and connection data required for an analysis; SimReady Central Library offers more than 2,000 OpenUSD assets.
- The proposed fixed-power study would link a revised layout to compute, electrical, and cooling requirements, with engineers evaluating feasible equipment configurations and reviewing results.
Our take
For teams using CATIA Magic or Windchill, the workflow’s value depends on making requirements and CAD records accessible through supported interfaces; without those links, a model may be difficult to trace back to its engineering basis. Keeping revisions in separate USD layers gives teams a way to review and iterate on proposed designs without directly changing the source assets.
Sources
- Developing an AI Factory Digital Twin with an Agent-Assisted Workflow · NVIDIA Developer
Corrections and updates
- Correction Oct 22, 2026
The DSX reference workflow uses Voyager architectural references and USGS imagery and elevation data. The illustrative comparison assumes 1 MW and PUE 1.1, showing 400 GPUs and 1.35× MaxP throughput for DSX MaxLPS; it is not a campus-model result. SimReady Central Library has more than 2,000 assets, and evaluating fixed-power configurations is a proposed study requiring engineering review. (Corrected based on the updated source.)
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