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NVIDIA Omniverse

### 
# NVIDIA Omniverse Libraries  

Integrate simulation capabilities into your existing applications. Give developers and AI agents tools to build simulation-ready worlds for physical AI.

#### Scroll to Resource

[Choose a Library](#omniverse-simulation-libraries)

#### Quick Links:

- 
[Learning Library](#learning-resources)
- 
[Use Agent Skills](#agents-skills)
- 
[Start With a Blueprint](#blueprints)
- 
[Follow a Learning Path](https://docs.nvidia.com/learning/physical-ai/)

- 
[GitHub](https://github.com/NVIDIA-Omniverse)
- 
[Docs](https://docs.omniverse.nvidia.com/)
- 
[Community](/omniverse/community)

#### Omniverse Labs  

Follow a developer walkthrough using GPT-6 Astra and NVIDIA Omniverse™ libraries to simulate conveyor transfers, investigate failures, and test fixes.

[Explore the Workflow](https://nvidia-omniverse.github.io/omniverse-labs/projects/astra-vscode-simulation/)

## Start Building With Omniverse

[NVIDIA Omniverse libraries](#library), part of NVIDIA Agent Toolkit, bring GPU-accelerated simulation and supporting tools to developers and AI agents building physical AI. Integrate NVIDIA RTX™ sensor simulation, physics, and simulation-ready asset validation into existing OpenUSD applications to build, test, and refine virtual worlds. Combine these capabilities with your existing tools and libraries to fit your workflow.

AI Agent Skills

Omniverse Simulation

OpenUSD and SimReady

Simulation for Physical AI

## Omniverse AI Agent Skillss

Use NVIDIA-verified skills to guide bounded agent workflows for OpenUSD, simulation-ready asset prep, synthetic data, neural reconstruction, viewer creation, and scene optimization, with human review at the decision points.

[Browse Omniverse skills](https://build.nvidia.com/skills?filters=library%3Alibrary_omniverse)

[Install for Your Agent](https://github.com/NVIDIA/skills)

### CAD to SimReady

Convert CAD assets into SimReady USD with geometry, materials, and physics for downstream workflows.

**Best for:** Turning CAD or source assets into reviewable USD outputs for simulation pipelines.

[Use CAD to SimReady](https://github.com/NVIDIA/skills/tree/main/skills/omniverse-cad-to-simready)

### Defect Image Generation

Generate anomaly examples and evaluate models for AOI inspection use cases.

**Best for:** PCBA, metal surface, or glass inspection data workflows.

[Generate Defect Data](https://github.com/NVIDIA/skills/tree/main/skills/physical-ai-defect-image-generation)

### Neural Reconstruction

Reconstruct real-world driving scenes and generate variations for AV training.

**Best for:** Camera, lidar, radar, or stereo reconstruction workflows for AV and robotics datasets.

[Reconstruct a Scene](https://github.com/NVIDIA/skills/tree/main/skills/physical-ai-neural-reconstruction)

### Realtime Viewer

Inspect OpenUSD scenes with a library-native viewer built from Omniverse tools.

**Best for:** Creating reviewable OpenUSD viewers without modifying source USD assets.

[Build a USD Viewer](https://github.com/NVIDIA/skills/tree/main/skills/omniverse-realtime-viewer)

### Video Data Augmentation

Augment and enrich simulation data for training physical AI models.

**Best for:** Enriching and labeling video datasets for physical AI model development.

[Augment Video Data](https://github.com/NVIDIA/skills/tree/main/skills/physical-ai-video-data-augmentation)

### USD Performance Tuning

Profile and tune large digital twin scenes for runtime simulation performance.

**Best for:** Diagnosing and improving large USD scenes before runtime or simulation use.

[Tune USD Performance](https://github.com/NVIDIA/skills/tree/main/skills/omniverse-usd-performance-tuning)

## Omniverse Libraries for Simulation

Extend existing applications and workflows with simulation libraries that agents and developers can use.

[Explore Omniverse Libraries on GitHub](https://github.com/NVIDIA-Omniverse)

### ovphysx

Open source, USD-native physics library for scalable robotics and digital twin simulation.

**Best for:** Loading USD scenes, stepping physics, cloning environments, and exchanging simulation data through tensors.

[Get Started](https://github.com/NVIDIA-Omniverse/PhysX/tree/main/ovphysx)

### ovrtx

GPU-accelerated rendering and sensor simulation libraries built on NVIDIA RTX.

**Best for:** Adding RTX rendering and sensor simulation to your existing simulator or 3D application.

[Get Started](https://github.com/nvidia-omniverse/ovrtx)

### ovstorage

Backend-neutral APIs to read, write, list, and access asset data across local and cloud storage.

**Best for:** Giving teams, agents, and tools a consistent way to access and route asset data across storage backends.

[Get Started](https://github.com/NVIDIA-Omniverse/ovstorage)

### ovstage

Shared, GPU-capable scene data layer for high-performance simulation and visualization workflows.

**Best for:** Sharing scene data across compatible Omniverse libraries and accessing it through C, Python, and tensor interfaces.

[Get Started](https://github.com/nvidia-omniverse/ovstage)

### ovnewton

Open source wrapper library that builds a Newton physics model from USD scene populated into ovstage.

**Best for:** GPU-accelerated physics for roboticists and simulation researchers with differentiability, user extensibility, and scale.

[Get Started](https://github.com/NVIDIA-Omniverse/ovnewton)

### ovui

Python UI library for app interfaces, interaction tests, and CI screenshot checks.

**Best for:** Creating local tools, inspectors, and review apps around USD workflows.

[Get Started](https://github.com/NVIDIA-Omniverse/ovui)

### ovstream

Stream rendered frames, audio, messages, and user input between GPU applications and interactive clients.

**Best for:** Delivering rendered or interactive output from tools such as ovrtx to local or browser clients.

[Get Started](https://github.com/nvidia-omniverse/ovstream)

## OpenUSD and SimReady Content Libraries

Build and manage simulation-ready 3D content with OpenUSD frameworks, SimReady libraries, and conversion, validation, and optimization tools.

### OpenUSD

Open source framework and standard for interoperable 3D data, SimReady assets, and agentic workflows.

**Best for:** Building interoperable 3D data workflows that can support simulation-ready content and agent-reviewed pipelines.

[Get Started](https://developer.nvidia.com/openusd)

### BReps

Support CAD geometry in OpenUSD.

**Best for:** Using exact and editable CAD geometry in OpenUSD pipelines.

[Get Started](https://github.com/NVIDIA-Omniverse/usd-brep)

### mujoco-usd-converter

Convert MuJoCo models into OpenUSD for robotics simulation workflows.

**Best for:** Moving MuJoCo robot or simulation assets into OpenUSD for visualization, inspection, and targeted simulation workflows.

[Get Started](https://github.com/newton-physics/mujoco-usd-converter)

### SimReady Central Library

Ungated library of SimReady assets on Hugging Face for developers to leverage and manufacturers to distribute.

**Best for:** Finding and combining simulation-ready assets to build physical AI training environments and AI factory digital twins.

[Get Started](https://huggingface.co/spaces/nvidia/simready-central)

### SimReady Foundation

Framework and pipeline for creating and validating simulation-ready assets.

**Best for:** Understanding asset requirements, profiles, and validation targets for supported simulation workflows.

[Get Started](https://github.com/nvidia/simready-foundation)

### urdf-usd-converter

Convert URDF robot assets into OpenUSD for robotics simulation.

**Best for:** Preparing URDF robots for OpenUSD review and Newton-oriented simulation workflows.

[Get Started](https://github.com/newton-physics/urdf-usd-converter)

### usd-content-agents

Use agents to prepare simulation-ready OpenUSD assets.

**Best for:** Creating geometry, assigning materials, generating textures, adding physics and joints, and validating results.

[Get Started](https://github.com/NVIDIA-Omniverse/usd-content-agents)

### usd-validation-nvidia

Validate OpenUSD assets against NVIDIA and core USD checks.

**Best for:** Adding repeatable USD validation checks to local tools, CI, or agent-reviewed pipelines.

[Get Started](https://github.com/NVIDIA-Omniverse/usd-validation-nvidia)

### usd-convert-cad

Convert supported CAD formats to OpenUSD with the Omniverse CAD Converter.

**Best for:** Bringing engineering CAD assets into USD workflows.

[Get Started](https://github.com/NVIDIA-Omniverse/usd-convert-cad)

### usd-convert-gsplat

Convert Gaussian splat data into OpenUSD for simulation and rendering.

**Best for:** Bringing .ply or .spz Gaussian splat data into OpenUSD workflows.

[Get Started](https://github.com/NVIDIA-Omniverse/usd-convert-gsplat)

### usd-exchange

SDK and authoring skills for creating and exchanging OpenUSD content.

**Best for:** Authoring USD content or mapping application data into OpenUSD.

[Get Started](https://github.com/NVIDIA-Omniverse/usd-exchange)

### usd-optimize

Optimize OpenUSD content for performance and memory.

**Best for:** Reducing scene complexity, memory use, or runtime cost in OpenUSD applications and pipelines.

[Get Started](https://github.com/NVIDIA-Omniverse/usd-optimize)

### usd-search

Enable natural language search and reasoning across OpenUSD content.

**Best for:** Finding assets, prims, dependencies, or similar content across large USD libraries.

[Get Started](https://github.com/NVIDIA-Omniverse/usd-search)

### usd-convert-asset

Convert common 3D asset formats to the interoperable OpenUSD format.

**Best for:** Scriptable asset ingestion into OpenUSD-based workflows.

[Get Started](https://github.com/NVIDIA-Omniverse/usd-convert-asset)

## Simulation Libraries for Physical AI

These foundational simulation libraries power advanced physics, reconstruction, and AI modeling workflows. Use them directly when you need lower-level control, or through Omniverse tools and skills when building agentic physical AI workflows.

### Newton Physics

An open source, extensible physics engine built on NVIDIA Warp and OpenUSD.

[Learn More](/newton-physics)

### NuRec

APIs, libraries, and [datasets](https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles-NuRec) for 3D Gaussian-based neural simulation from real-world data.

[Get Started](https://docs.nvidia.com/nurec/index.html#)

### PhysX

Open source multi-physics SDK for scalable robotics simulation and modeling.

[Go to GitHub](https://github.com/NVIDIA-Omniverse/PhysX)

### 
### PhysicsNeMo

A CUDA-X™ library and open source Python framework for building, training, and fine-tuning AI physics models at scale.

[Learn More](/physicsnemo)

### 
### NVIDIA Warp

Open source Python framework and CUDA-X library that delivers GPU acceleration for computational physics, AI​, and optimization workflows.

[Learn More](/warp-python)

 ![img-alt-text](https://developer.download.nvidia.com/images/omniverse/omniverse-labs-02.jpg)

### Omniverse Labs

Explore experimental samples and reference patterns for building physical AI workflows with Omniverse libraries, OpenUSD, and agent-callable tools.

[Explore Omniverse Labs](https://nvidia-omniverse.github.io/omniverse-labs/)

## Blueprints and Agent Workflows

Start from reference workflows that bring together Omniverse libraries, agent skills, and NVIDIA technologies.

 ![Digital twins for AI data centers design and operations](https://developer.download.nvidia.com/images/dsx-gigawatt-scale-ai-factories.jpg?1)

### DSX Gigawatt-Scale AI Factories

Optimize design, simulation, and operations of AI factories.

[Try Blueprint](https://build.nvidia.com/nvidia/omniverse-dsx-blueprint-for-ai-factories)

 ![Synthetic manipulation motion generation for robotics](https://developer.download.nvidia.com/images/omniverse/synthetic-manipulation-robotics-ari.jpg)

### GR00T-Mimic Synthetic Robot Manipulation

Generate exponential synthetic manipulation data for robots.

[Try Blueprint](https://build.nvidia.com/nvidia/isaac-gr00t-synthetic-manipulation)

 ![Digital twin for complex industrial robot fleets](https://developer.download.nvidia.com/images/omniverse/industrial-automation-ari.jpg)

### Mega Multi-Robot Fleet Simulation

Scale simulations to test and validate industrial multi-robot fleets before real-world deployment.

[Learn More](https://build.nvidia.com/blueprints/mega-multi-robot-fleets-for-industrial-automation)

 ![Physical AI applications](https://developer.download.nvidia.com/images/omniverse/physical-ai-agents-ari.jpg)

### Agent Skills for Synthetic Data Generation

Turn coding agents into synthetic data experts for physical AI development.

[Try Now](https://brev.nvidia.com/physical-ai)

 ![Digital twin for aerodynamic simulation and design](https://developer.download.nvidia.com/images/omniverse/digital-twin-fluid-simulation-ari.jpg)

### Digital Twin for Interactive Fluid Simulation

AI-powered virtual wind tunnel for real-time aerodynamic simulation and design.

[Try Blueprint](https://build.nvidia.com/nvidia/digital-twins-for-fluid-simulation)

## Omniverse Learning Resources



The rows below are the raw result records for this component — one row per record. Column names are the source index fields; the full data is also downloadable in the links that follow.

| title | featured | x_formats | document_url | technologies | document_date | short_summary | document_title | learning_level | x_content_types |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Accelerating AV Simulation with Neural Reconstruction and WFMs | false | blog | https://developer.nvidia.com/blog/accelerating-av-simulation-with-neural-reconstruction-and-world-foundation-models/ | Cosmos | 2026-02-17T10:08:39.000Z | Autonomous vehicle (AV) stacks are evolving from a hierarchy of discrete building blocks to end-to-end architectures built on foundation models. | Accelerating AV Simulation with Neural Reconstruction and WFMs | Technical - Beginner | News |
| Build and Orchestrate End-to-End SDG Workflows with NVIDIA Isaac Sim and NVIDIA OSMO | true |  | https://developer.nvidia.com/blog/build-synthetic-data-pipelines-to-train-smarter-robots-with-nvidia-isaac-sim/ |  | 2026-01-07T00:00:00.000Z | This post explores creating a simulated environment, generating synthetic data with MobilityGen on OSMO, scaling data augmentation and more. | Build and Orchestrate End-to-End SDG Workflows with NVIDIA Isaac Sim and NVIDIA OSMO | Technical - Intermediate | Tutorial |
| NVIDIA Omniverse Foundational Technology Montage | false | video | https://www.youtube.com/watch?v=wIvpOtU3e_A | Riva | 2026-02-17T10:08:39.000Z | NVIDIA Omniverse is a platform for integrating OpenUSD, RTX, and PhysicalAI into existing tools and workflows for industrial and robotics use. | NVIDIA Omniverse Foundational Technology Montage | General Interest | Demo |
| Industrial AI and Robotics Conference Sessions - GTC Paris | false | blog | https://www.nvidia.com/en-eu/gtc/sessions/industrial-ai-and-robotics/ |  | 2026-02-17T10:08:39.000Z | Discover how AI, robotics, digital twins, and advanced simulation technologies are powering smarter, safer, and more efficient industrial automation. | Industrial AI and Robotics Conference Sessions - GTC Paris | General Interest | News |
| Action Graph Quickstart | false |  | https://docs.omniverse.nvidia.com/extensions/latest/ext_omnigraph/tutorials/quickstart.html |  | 2026-02-17T10:08:39.000Z | In this tutorial, you'll use OmniGraph in Omniverse USD Composer to move a mesh in response to a key press. | Action Graph Quickstart |  | Tutorial |
| Defect Detection | false |  | https://docs.omniverse.nvidia.com/workflows/latest/defect-detection.html |  | 2026-02-17T10:08:39.000Z | This guide will point you to resources that will help you build your own tools to easily create synthetic data for your use case. | Defect Detection |  | Tutorial |
| Data Aggregation and Navigation Guide | false |  | https://docs.omniverse.nvidia.com/dang/latest/index.html |  | 2026-02-17T10:08:39.000Z | This guide shows new Omniverse users how to import and connect various 3D data types into a unified view, then navigate and review them individually or across project teams. | Data Aggregation and Navigation Guide |  |  |
| Viewport Code Samples | false |  | https://docs.omniverse.nvidia.com/dev-guide/latest/programmer_ref/viewport.html |  | 2026-02-17T10:08:39.000Z | This sample and guide includes code examples for various Viewport functionality, like getting the active camera, making the camera look at prims, and more. | Viewport Code Samples |  |  |
| Physics Code Samples | false |  | https://docs.omniverse.nvidia.com/dev-guide/latest/programmer_ref/physics.html |  | 2026-02-17T10:08:39.000Z | This sample and guide covers the Physics system in Omniverse, which is comprised of several extensions, each providing their own technology and API. | Physics Code Samples |  |  |
| Omniverse Embedded Web Viewer Guide | false |  | https://docs.omniverse.nvidia.com/embedded-web-viewer/latest/index.html |  | 2026-02-17T10:08:39.000Z | This example highlights how an Omniverse Kit application can effectively stream to a front-end web client. | Omniverse Embedded Web Viewer Guide |  |  |
| Connect Samples for the Omniverse Connect SDK | false |  | https://github.com/NVIDIA-Omniverse/connect-samples |  | 2026-02-17T10:08:39.000Z | These samples demonstrate some key concepts for writing Omniverse Connectors and Converters. | Connect Samples for the Omniverse Connect SDK |  |  |
| Develop Custom Physical AI Foundation Models with NVIDIA Cosmos Predict-2 | false | blog | https://developer.nvidia.com/blog/develop-custom-physical-ai-foundation-models-with-nvidia-cosmos-predict-2/ | Cosmos | 2026-02-17T10:08:39.000Z | Building smarter robots and autonomous vehicles (AVs) starts with physical AI models that understand real-world dynamics. | Develop Custom Physical AI Foundation Models with NVIDIA Cosmos Predict-2 | Technical - Beginner | News |
| Building Gigawatt-Scale AI Factories With Digital Twins | false | video | https://www.youtube.com/watch?v=TRc0z_qcze0 |  | 2026-02-17T10:08:39.000Z | The blueprint unifies 3D and layout data with OpenUSD, enabling parallel, collaborative engineering. Real-time simulations cut errors and speed up deployment with "what-if" scenarios. | Building Gigawatt-Scale AI Factories With Digital Twins | General Interest | Demo |
| GR00T N1 | false | video | https://www.youtube.com/watch?v=m1CH-mgpdYg |  | 2026-02-17T10:08:39.000Z | World’s First Open Foundation Model to Advance Humanoid Robot Development | GR00T N1 | General Interest | Demo |
| Synthetic Manipulation Motion Generation for Robotics | true |  | https://build.nvidia.com/nvidia/isaac-gr00t-synthetic-manipulation/blueprintcard |  | 2026-02-17T10:08:39.000Z | Synthetic data from accurate simulations speeds up data collection and adds diversity, solving the challenge of limited real-world data for training generalizable robot learning models. | Synthetic Manipulation Motion Generation for Robotics | General Interest |  |
| Build a Digital Twin for Interactive Fluid Simulation | false |  | https://build.nvidia.com/nvidia/digital-twins-for-fluid-simulation |  | 2026-02-17T10:08:39.000Z | This experience shows an interactive virtual wind tunnel. Simulating airflow in a virtual wind tunnel with computational fluid dynamics (CFD) requires millions of complex calculations. | Build a Digital Twin for Interactive Fluid Simulation | General Interest |  |
| Creating and Customizing an Omniverse Extension | false |  | https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-16+V1 |  | 2026-02-17T10:08:39.000Z | Create an extension to make an interactive UI widget, and learn how to extract Omniverse application commands to code the extension's functionality. | Creating and Customizing an Omniverse Extension |  | Tutorial |
| User Interface Code Samples | false |  | https://docs.omniverse.nvidia.com/dev-guide/latest/programmer_ref/ui.html |  | 2026-02-17T10:08:39.000Z | This sample and guide includes examples of commonly used UI widgets and their sample code, as well as some explanation of DataModel properties. | User Interface Code Samples |  |  |
| Audio Code Samples | false |  | https://docs.omniverse.nvidia.com/dev-guide/latest/programmer_ref/audio.html |  | 2026-02-17T10:08:39.000Z | This sample and guide explains how to play an AudioClip, walking through how to attach it to a prim and adjusting attributes to achieve specific effects. | Audio Code Samples |  |  |
| Omniverse Kit-App-Template | false |  | https://github.com/NVIDIA-Omniverse/kit-app-template |  | 2026-02-17T10:08:39.000Z | This repository provides streamlined templates and tools designed to simplify the creation of high-performance OpenUSD-based applications powered by the Omniverse Kit SDK. | Omniverse Kit-App-Template |  |  |
| Omniverse API Connection Tutorial | false |  | https://github.com/NVIDIA-Omniverse/kit-extension-sample-apiconnect |  | 2026-02-17T10:08:39.000Z | The API Connection extension sample and guide demonstrates how to communicate with an API within Omniverse. | Omniverse API Connection Tutorial |  |  |
| Developers Build Fast and Reliable Robot Simulations with NVIDIA Omniverse Libraries | true | blog | https://developer.nvidia.com/blog/developers-build-fast-and-reliable-robot-simulations-with-nvidia-omniverse-libraries/ | Cosmos, Isaac Lab, Isaac Sim | 2026-02-17T10:08:39.000Z | NVIDIA Omniverse libraries and Cosmos WFMs, powered by OpenUSD, give developers tools to build physically accurate virtual worlds and AI agents that understand the real world. | Developers Build Fast and Reliable Robot Simulations with NVIDIA Omniverse Libraries | General Interest | News |
| Building Photorealistic Digital Twins With Siemens Teamcenter Digital Reality Viewer | false | blog | https://developer.nvidia.com/blog/building-photorealistic-digital-twins-with-siemens-teamcenter-digital-reality-viewer/ |  | 2026-02-17T10:08:39.000Z | Siemens is integrating NVIDIA Omniverse advanced real-time ray tracing and accelerated computing capabilities directly into Siemens Teamcenter | Building Photorealistic Digital Twins With Siemens Teamcenter Digital Reality Viewer | Technical - Beginner | News |
| Newton, an Open-Source Physics Engine for Robotics Simulation | false | blog | https://developer.nvidia.com/blog/announcing-newton-an-open-source-physics-engine-for-robotics-simulation/ |  | 2026-02-17T10:08:39.000Z | Physical AI models enable robots to autonomously perceive, interpret, reason, and interact with the real world. Accelerated computing and simulations are key to developing the next generation of robotics. | Newton, an Open-Source Physics Engine for Robotics Simulation | Technical - Beginner | News |
| Research Advances in AI-Assisted Material Generation for Physical AI | true | video | https://www.youtube.com/watch?v=M1_xa7GXJlg |  | 2026-02-17T10:08:39.000Z | NVIDIA Cosmos WFMs and rendering tech enable AI-assisted creation of realistic, simulation-ready digital twins—accelerating physical AI training and testing at scale. | Research Advances in AI-Assisted Material Generation for Physical AI | General Interest | Demo |
| Neural Reconstruction for Robotics and Autonomous Vehicles | true | video | https://www.youtube.com/watch?v=e3dfXj6ATA0 |  | 2026-02-17T10:08:39.000Z | NVIDIA Omniverse NuRec uses multi-sensor data and neural reconstruction to bring the real world into simulation, creating photorealistic environments for testing robotics and AVs. | Neural Reconstruction for Robotics and Autonomous Vehicles | General Interest | Demo |
| Europe's Next Industrial Revolution Has Arrived | false | video | https://www.youtube.com/watch?v=Sj-nSKZCcyU |  | 2026-02-17T10:08:39.000Z | A new industrial revolution is taking hold across Europe, powered by Artificial Intelligence. | Europe's Next Industrial Revolution Has Arrived | General Interest | Demo |
| Test Multi-Robot Fleets for Industrial Automation | true |  | https://build.nvidia.com/nvidia/mega-multi-robot-fleets-for-industrial-automation/blueprintcard |  | 2026-02-17T10:08:39.000Z | Physical AI is set to revolutionize manufacturing, logistics, and supply chains with advanced automation, intelligence, and autonomy across factories and industrial facilities. | Test Multi-Robot Fleets for Industrial Automation | General Interest |  |
| RTX Best Practices for Realtime Configurators | false |  | https://docs.omniverse.nvidia.com/guide_rtx-best-practices/latest/index.html |  | 2026-02-17T10:08:39.000Z | Learn how to optimize real-time ray tracing performance for 3D projects including lighting, materials, and rendering techniques to maximize high-quality visuals and performance. | RTX Best Practices for Realtime Configurators | General Interest |  |
| Generative AI Reference Architecture | false |  | https://docs.omniverse.nvidia.com/arch-diagrams/latest/ref-arch-diagrams/gen-ai-diagram.html |  | 2026-02-17T10:08:39.000Z | This reference architecture demonstrates how teams can leverage NIM microservices to experiment with backgrounds, visuals, and 3D assets to create visual content using generative AI. | Generative AI Reference Architecture | General Interest |  |
| Generative AI for Digital Twins Guide | false |  | https://docs.omniverse.nvidia.com/guide-sdg/latest/index.html |  | 2026-02-17T10:08:39.000Z | In this workflow guide, we demonstrate how developers can use NVIDIA NIM containers to quickly create and augment complex digital twins for building generative physical AI. | Generative AI for Digital Twins Guide | General Interest |  |
| OpenUSD: Connecting Any Data Source | false | video | https://www.youtube.com/watch?v=VMpwpUvaXSU |  | 2026-02-17T10:08:39.000Z | In this fourth video of our “Superpowers of OpenUSD” series, learn how OpenUSD’s data source interoperability allows data from different tools to be used in the same scene or project. | OpenUSD: Connecting Any Data Source | Technical - Advanced | Demo |
| Developing an AI Background Generator With NIM | false |  | https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-18+V1 |  | 2026-02-17T10:08:39.000Z | In this course, we’ll use Omniverse extensions, NVIDIA NIM microservices, and Python code to develop an extension capable of generating backgrounds from text input. | Developing an AI Background Generator With NIM | Technical - Intermediate | Tutorial |
| OpenUSD Exchange SDK | false |  | https://docs.omniverse.nvidia.com/usd/code-docs/usd-exchange-sdk/latest/index.html |  | 2026-02-17T10:08:39.000Z | Leverage this SDK to design and develop your own USD I/O solutions that produce consistent and correct USD assets across diverse 3D ecosystems. | OpenUSD Exchange SDK | Technical - Intermediate | Documentation |
| Principles of Scalable Asset Structure | false |  | https://docs.omniverse.nvidia.com/usd/latest/learn-openusd/independent/asset-structure-principles.html |  | 2026-02-17T10:08:39.000Z | This guide covers the basic principles of scalable asset structures in OpenUSD, including developing for teams, best practices, and potential future work. | Principles of Scalable Asset Structure | Technical - Beginner |  |
| Product Configurator Reference Architecture | false |  | https://docs.omniverse.nvidia.com/arch-diagrams/latest/ref-arch-diagrams/prod-config-diagram.html |  | 2026-02-17T10:08:39.000Z | This reference architecture provides an overview of the various components required for developing a product configurator application. | Product Configurator Reference Architecture | General Interest |  |
| Factory Digital Twin Reference Architecture | false |  | https://docs.omniverse.nvidia.com/arch-diagrams/latest/ref-arch-diagrams/factory-dt-diagram.html |  | 2026-02-17T10:08:39.000Z | This reference architecture illustrates the workflow for creating a digital twin of a factory. | Factory Digital Twin Reference Architecture | General Interest |  |
| End-to-End Configurator Example Guide | false |  | https://docs.omniverse.nvidia.com/auto-config/latest/index.html |  | 2026-02-17T10:08:39.000Z | This guide outlines the process of creating an interactive, photorealistic product configurator using the NVIDIA Concept Car asset. | End-to-End Configurator Example Guide | General Interest |  |
| Units in USD | false |  | https://docs.omniverse.nvidia.com/usd/latest/learn-openusd/independent/units.html |  | 2026-02-17T10:08:39.000Z | How units are defined inside of USD is important to understand when it comes to how individual USD files get composed together into an active stage. | Units in USD | General Interest |  |
| OpenUSD Code Samples | false |  | https://docs.omniverse.nvidia.com/dev-guide/latest/programmer_ref/usd.html |  | 2026-02-17T10:08:39.000Z | This is an index of code samples or snippets for OpenUSD, indexed by topics and the task it's used for. | OpenUSD Code Samples | General Interest |  |
| OpenUSD Source Code | false |  | https://github.com/PixarAnimationStudios/OpenUSD |  | 2026-02-17T10:08:39.000Z | This is the source code repository for OpenUSD, maintained by Pixar Animation Studio and their contributors. | OpenUSD Source Code | General Interest |  |
| Using OpenUSD for Modular and Scalable Robotic Simulation and Deployment | false | blog | https://developer.nvidia.com/blog/using-openusd-for-modular-and-scalable-robotic-simulation-and-deployment/ |  | 2026-02-17T10:08:39.000Z | Learn how OpenUSD enables modular robotic simulation, integrates 3D data, supports parallel workflows, and accelerates real-time decision-making for scalable deployment. | Using OpenUSD for Modular and Scalable Robotic Simulation and Deployment | Technical - Intermediate | News |
| How to Build a Native OpenUSD XR Application | false |  | https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-12+V1 | CloudXR | 2026-02-17T10:08:39.000Z | Learn how to take advantage of Universal Scene Description (OpenUSD) to accelerate your XR development and enhance visual fidelity like never before. | How to Build a Native OpenUSD XR Application | Technical - Beginner | Tutorial |
| OpenUSD: Composition and Layering | false | video | https://www.youtube.com/watch?v=zRyKI55qEZY |  | 2026-02-17T10:08:39.000Z | Watch this second video of our “Superpowers of OpenUSD” series to learn about the OpenUSD composition engine and how non-destructive data assembly enables complex scene creation. | OpenUSD: Composition and Layering | Technical - Intermediate | Demo |
| How to Build OpenUSD Applications for Industrial Digital Twins | false |  | https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-13+V1 |  | 2026-02-17T10:08:39.000Z | Develop 3D applications to support industrial use cases and workflows for aggregating and reviewing large facilities such as factories, warehouses, and more. | How to Build OpenUSD Applications for Industrial Digital Twins | Technical - Beginner | Tutorial |
| OpenUSD: Custom Schemas | false | video | https://www.youtube.com/watch?v=-iCUjNk2aiA |  | 2026-02-17T10:08:39.000Z | In this third video of our “Superpowers of OpenUSD” series, learn how developers use USD custom schemas to represent and encode sophisticated virtual worlds. | OpenUSD: Custom Schemas | Technical - Intermediate | Demo |
| Fundamentals of Working With OpenUSD for Creators | false |  | https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-15+V1 |  | 2026-02-17T10:08:39.000Z | In this introductory training lab, we'll cover the fundamentals of working with Universal Scene Description (OpenUSD). | Fundamentals of Working With OpenUSD for Creators | Technical - Beginner | Tutorial |
| Learn OpenUSD Learning Path | false |  | https://www.nvidia.com/en-us/learn/learning-path/openusd/ |  | 2026-02-17T10:08:39.000Z | Accelerate your OpenUSD workflows with this free curriculum for developers and 3D practitioners. | Learn OpenUSD Learning Path | Technical - Beginner | Tutorial |
| OpenUSD: da Vinci's Workshop Dataset | false |  | https://docs.omniverse.nvidia.com/usd/latest/usd_content_samples/davinci_workshop.html |  | 2026-02-17T10:08:39.000Z | The da Vinci Workshop project represents a full USD film-making production pipeline to showcase how our creative production team structured the creation of this amazing environment. | OpenUSD: da Vinci's Workshop Dataset | General Interest |  |
| OpenUSD Product Configurator Guide | false |  | https://docs.omniverse.nvidia.com/usd-pcg/latest/index.html |  | 2026-02-17T10:08:39.000Z | This sample guides you through setting up final USD content to stream as a custom 3D product configurator and test locally, which can then be deployed to a public environment. | OpenUSD Product Configurator Guide | General Interest |  |
| Omniverse Developer Guide | false |  | https://docs.omniverse.nvidia.com/dev-guide/latest/index.html |  | 2026-02-17T10:08:39.000Z | Explore a step-by-step guide for developing an Omniverse project, from initial build setup through packaging and deployment. | Omniverse Developer Guide | General Interest |  |
| OpenUSD: Residential Lobby Dataset | false |  | https://docs.omniverse.nvidia.com/usd/latest/usd_content_samples/sample_content.html |  | 2026-02-17T10:08:39.000Z | The Residential Lobby project showcases the use of multiple USD composition arcs to help a multi-person design team create an architectural environment. | OpenUSD: Residential Lobby Dataset | General Interest |  |
| Building a 3D Product Configurator With USD and Omniverse | false |  | https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-14+V1 |  | 2026-02-17T10:08:39.000Z | In this hands-on lab, you'll unlock the power of OpenUSD to build a real-time configurator in Omniverse. | Building a 3D Product Configurator With USD and Omniverse | Technical - Beginner | Tutorial |
| OpenUSD: Four Superpowers to Get You Started | false | video | https://www.youtube.com/watch?v=1RnTSZK9SwM |  | 2026-02-17T10:08:39.000Z | This introductory series explores the four OpenUSD superpowers developers can use to unlock new possibilities in 3D workflows. | OpenUSD: Four Superpowers to Get You Started | Technical - Beginner | Demo |
| Developing an Omniverse Kit-Based Application | false |  | https://docs.omniverse.nvidia.com/kit/docs/kit-app-template/latest/docs/intro.html |  | 2026-02-17T10:08:39.000Z | This course provides the fundamentals of using the Kit SDK to develop applications that can be customized and extended. | Developing an Omniverse Kit-Based Application |  | Tutorial |
| How to Instantly Render Real-World Scenes in Interactive Simulation | true | blog | https://developer.nvidia.com/blog/how-to-instantly-render-real-world-scenes-in-interactive-simulation/ | Cosmos, Isaac Sim | 2026-02-17T10:08:39.000Z | With NVIDIA Omniverse NuRec and 3DGUT, turn sensor data into photorealistic 3D scenes and deploy them in Isaac Sim or CARLA—instantly, without days or weeks of work. | How to Instantly Render Real-World Scenes in Interactive Simulation | General Interest | News |
| Simplify End-to-End Autonomous Vehicle Development with New NVIDIA Cosmos World Foundation Models | false | blog | https://developer.nvidia.com/blog/simplify-end-to-end-autonomous-vehicle-development-with-new-nvidia-cosmos-world-foundation-models/ | Cosmos | 2026-02-17T10:08:39.000Z | The shift to end-to-end planning models for powering autonomous vehicles (AVs) is increasing the demand for high-quality, physically-based sensor data. | Simplify End-to-End Autonomous Vehicle Development with New NVIDIA Cosmos World Foundation Models | Technical - Beginner | News |

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