NVIDIA released several new libraries as part of the Omniverse stack, each designed to bring specific physical AI capabilities into existing applications:

• ovrtx — RTX sensor simulation library (prerelease on GitHub). It provides a lightweight C and Python SDK for generating camera, lidar, radar, and other sensor outputs from OpenUSD scenes, enabling applications and AI agents to test how physical AI systems perceive virtual environments .
• ovphysx — GPU-accelerated physics simulation library. It brings realistic physical behavior (collisions, mass, friction, motion) to 3D scenes so teams can test object and system interactions in simulation .
• ovstage — Shared runtime stage for OpenUSD scene data, enabling libraries like ovphysx and ovrtx to exchange simulation state through a common data substrate .
• CAD-to-SimReady skills — Convert CAD data into SimReady assets built on OpenUSD, giving 3D content the structural, material, and physical properties needed for physical AI simulation .

Additional supporting libraries include ovstream (streaming) and ovstorage (data management) .

SimReady Blender Blueprint

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 .

Executive Quotes

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."

Early Adopters

SideFX

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

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 .

Startups

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 .

Broader Strategic Context

The announcement extends NVIDIA's strategy of making physical AI simulation more accessible by:

• Exposing core Omniverse capabilities (RTX rendering, PhysX simulation, data pipelines) as standalone, headless-first C APIs with C++ and Python bindings — no longer requiring the full Omniverse platform .
• Making these libraries agent-callable tools within the Agent Toolkit, so coding agents can autonomously inspect scenes, flag issues, prepare assets, and run simulations .
• Releasing a major open-source collection of physical AI agent skills (spanning Omniverse, Cosmos, Isaac, Metropolis, Alpamayo, and Jetson) in June 2026 at GTC Taipei, now extended with the SIGGRAPH 2026 Omniverse libraries release .

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 .

NVIDIA released several new libraries as part of the Omniverse stack, each designed to bring specific physical AI capabilities into existing applications:

• ovrtx — RTX sensor simulation library (prerelease on GitHub). It provides a lightweight C and Python SDK for generating camera, lidar, radar, and other sensor outputs from OpenUSD scenes, enabling applications and AI agents to test how physical AI systems perceive virtual environments .
• ovphysx — GPU-accelerated physics simulation library. It brings realistic physical behavior (collisions, mass, friction, motion) to 3D scenes so teams can test object and system interactions in simulation .
• ovstage — Shared runtime stage for OpenUSD scene data, enabling libraries like ovphysx and ovrtx to exchange simulation state through a common data substrate .
• CAD-to-SimReady skills — Convert CAD data into SimReady assets built on OpenUSD, giving 3D content the structural, material, and physical properties needed for physical AI simulation .

Additional supporting libraries include ovstream (streaming) and ovstorage (data management) .

SimReady Blender Blueprint

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 .

Executive Quotes

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."

Early Adopters

SideFX

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

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 .

Startups

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 .

Broader Strategic Context

The announcement extends NVIDIA's strategy of making physical AI simulation more accessible by:

• Exposing core Omniverse capabilities (RTX rendering, PhysX simulation, data pipelines) as standalone, headless-first C APIs with C++ and Python bindings — no longer requiring the full Omniverse platform .
• Making these libraries agent-callable tools within the Agent Toolkit, so coding agents can autonomously inspect scenes, flag issues, prepare assets, and run simulations .
• Releasing a major open-source collection of physical AI agent skills (spanning Omniverse, Cosmos, Isaac, Metropolis, Alpamayo, and Jetson) in June 2026 at GTC Taipei, now extended with the SIGGRAPH 2026 Omniverse libraries release .

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 .