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OpenUSD

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4

COMPANIES · 1 SOURCE · NVIDIA Developer

NVIDIA publishes Omniverse DSX Blueprint for agent-assisted AI factory digital twins

The NVIDIA Omniverse DSX Blueprint provides reference OpenUSD assets, sample scripts, and an agent-assisted workflow that helps teams assemble editable AI factory digital twins; Frontier AI agents (USD Content Agents) can generate and refine geometry while SimReady Foundation specifications and a SimReady Central Library on Hugging Face support simulation-ready asset preparation. The blueprint is designed to integrate CAD, requirements, and engineering simulation tools from providers such as Dassault Systèmes, PTC, Cadence, and Siemens to enable capacity planning and power/cooling analysis for AI facilities.

6.0

CODING · 1 SOURCE · NVIDIA Developer

NVIDIA publishes SimReady CAD-to-simulation workflow using Omniverse and GPT-6 Astra

NVIDIA demonstrates a five-step SimReady workflow using Omniverse libraries and SimReady Foundation specifications to convert an ABB YuMi STEP model into simulation-ready OpenUSD assets, configure physics (joints, collision geometry, mass, friction), validate against SimReady checks, and run pick-and-place tests in Isaac Sim. Frontier AI models such as GPT-6 Astra and Omniverse agent skills (e.g., the CAD-to-SimReady skill) are shown assisting by generating Python to call Omniverse tools and reduce manual preparation effort.

6.0

CODING · 1 SOURCE · NVIDIA Developer

NVIDIA outlines agentic Omniverse Libraries workflow to make Blender scenes SimReady

NVIDIA demonstrates an agentic workflow using Omniverse Libraries and OpenUSD to prepare Blender scenes for robotics simulation by adding semantic labels, physics (via ovphysx), sensor definitions, preflight rendering (ovrtx), and SimReady validation. The post describes a coordination layer where a general-purpose agent (referred to as Codex, noted as using OpenAI 'GPT-6 Astra' in the article) delegates to specialized Hermes subagents deployed through NemoClaw to run the specific tooling and validation, with examples available in the Omniverse Labs GitHub repo.

5.0