NVIDIA also released a new blueprint for integrating Omniverse libraries into Blender, now available on GitHub. It provides a reference workflow for developers and technical artists to prepare simulation-ready 3D content directly inside Blender using the Omniverse libraries stack .
Jensen Huang, founder and CEO of NVIDIA: "The physical AI era will be built in simulation first. NVIDIA Agent Toolkit with Omniverse libraries brings AI agents into the 3D tools developers already use, helping build the simulation-ready worlds where robots, factories and autonomous systems are trained and tested long before they reach the real world."
Earlier at GTC Taipei (June 2026), Huang stated: "AI agents are revolutionizing software development, and that shift is now coming to physical AI, extending into the systems that will transform transportation, manufacturing, healthcare and robotics."
SideFX is using OpenUSD workflows, ovrtx, and ovphysx to explore how AI agents can integrate Omniverse libraries into Houdini procedural 3D content creation workflows. This gives technical artists a path to generate, test physics, and prepare content for simulation entirely within Houdini.
Kim Davidson, president and CEO of SideFX: "Procedural 3D creation is essential to building the complex, controllable worlds needed for simulation, robotics and industrial AI. With NVIDIA Omniverse libraries and OpenUSD, SideFX is exploring how agent-ready tools can support Houdini workflows, helping technical artists review, test and prepare procedural content for simulation while staying in control of the creative process."
PTC's Onshape CAD and product data management (PDM) platform is using OpenUSD and ovrtx to connect cloud-native design workflows with NVIDIA RTX sensor simulation, enabling "Render Studio" capabilities directly in the browser .
Several startups are among the first to adopt Omniverse libraries: ForgeCAD, Lightwheel, Moonlake AI, and Palatial are building with the new agent-ready libraries and skills to accelerate simulation-ready asset pipelines and physical AI validation .
The announcement extends NVIDIA's strategy of making physical AI simulation more accessible by:
The overarching goal is to lower the barrier for developers building the simulation-ready worlds needed to train and test robots, autonomous vehicles, factories, and industrial digital twins before they reach the real world .