La robotique humanoïde et l'IA incarnée s'apprête à changer le monde
Il est alors possible de simuler les actions du robot à des vitesses des millions de fois supérieur à la réalité dans un monde digital, et de ...
Nvidia Omniverse
Il est donc désormais possible de créer un double digital du robot dans une simulation tel que <anchor>Nvidia Omniverse</anchor> et de reproduire fidèlement ses caractéristiques physiques, mécaniques, son poids, sa cinématique, sa taille, la puissance de ses actionneurs, les capacités de ses capteurs, etc. Il est alors possible de simuler les actions du robot à des vitesses des millions de fois supérieur à la réalité dans un monde digital, et de manière beaucoup plus sécurisée qu’en environnement physique.
Omniverse Platform for OpenUSD | NVIDIA
Omniverse Platform for OpenUSD \| NVIDIA

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      - [Logistics and Route Optimization - cuOpt](https://www.nvidia.com/en-us/ai-data-science/products/cuopt/)
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      - [Open Source Software](https://developer.nvidia.com/open-source/)
    - Products
      - [PC](https://www.nvidia.com/en-us/deep-learning-ai/products/titan-rtx/)
      - [Laptops & Workstations](https://www.nvidia.com/en-us/deep-learning-ai/solutions/data-science/workstations/)
      - [Data Center](https://www.nvidia.com/en-us/data-center/)
      - [Cloud](https://www.nvidia.com/en-us/data-center/gpu-cloud-computing/)
    - Resources
      - [Professional Services](https://www.nvidia.com/en-us/ai-data-science/professional-services/)
      - [Technical Training](https://www.nvidia.com/en-us/training/)
      - [Startups](https://www.nvidia.com/en-us/startups/)
      - [AI Accelerator Program](https://www.nvidia.com/en-us/accelerated-applications/)
      - [Content Library](https://resources.nvidia.com/l/en-us-data-science)
      - [NVIDIA Research](https://www.nvidia.com/en-us/research/)
      - [Developer Blog](https://developer.nvidia.com/blog/category/data-science/)
      - [Kaggle Grandmasters](https://www.nvidia.com/en-us/ai-data-science/kaggle-grandmasters/)
  - [Developers](#nav-lvl1-tab4-lvl2-tab3)
    - Developer Resources
      - [Join the Developer Program](https://developer.nvidia.com/join)
      - [NGC Catalog](https://catalog.ngc.nvidia.com/)
      - [NVIDIA NGC](https://www.nvidia.com/en-us/gpu-cloud/)
      - [Technical Training](https://www.nvidia.com/en-us/training/)
      - [News](https://news.developer.nvidia.com/)
      - [Blog](https://developer.nvidia.com/blog)
      - [Forums](https://forums.developer.nvidia.com/)
      - [Open Source Portal](https://developer.nvidia.com/open-source/)
      - [NVIDIA GTC](https://www.nvidia.com/gtc/)
      - [Startups](https://www.nvidia.com/en-us/startups/)
      - [_Developer Home_](https://developer.nvidia.com/)
    - Application Frameworks
      - [AI Inference - Triton](https://www.nvidia.com/en-us/ai-data-science/products/triton-inference-server/)
      - [Automotive - DRIVE](https://developer.nvidia.com/drive)
      - [Cloud-AI Video Streaming - Maxine](https://developer.nvidia.com/MAXINE)
      - [Computational Lithography - cuLitho](https://developer.nvidia.com/culitho)
      - [Cybersecurity - Morpheus](https://www.nvidia.com/en-us/ai-data-science/products/morpheus/)
      - [Data Analytics - RAPIDS](https://www.nvidia.com/en-us/deep-learning-ai/software/rapids/)
      - [Generative AI](https://developer.nvidia.com/generative-ai)
      - [Healthcare - Clara](https://www.nvidia.com/en-us/clara/)
      - [High-Performance Computing](https://developer.nvidia.com/hpc-sdk)
      - [Intelligent Video Analytics - Metropolis](https://www.nvidia.com/en-us/autonomous-machines/intelligent-video-analytics-platform/)
      - [Logistics and Route Optimization - cuOpt](https://www.nvidia.com/en-us/ai-data-science/products/cuopt/)
      - [Metaverse Applications - Omniverse](https://developer.nvidia.com/nvidia-omniverse-platform)
      - [Recommender Systems - Merlin](https://developer.nvidia.com/nvidia-merlin)
      - [Robotics - Isaac](https://developer.nvidia.com/isaac)
      - [Speech AI - Riva](https://www.nvidia.com/en-us/ai-data-science/products/riva/)
      - [Telecommunications - Aerial](https://developer.nvidia.com/aerial-sdk)
    - Top SDKs and Libraries
      - [Parallel Programming - CUDA Toolkit](https://developer.nvidia.com/cuda-zone)
      - [Edge AI applications - Jetpack](https://developer.nvidia.com/embedded/jetpack)
      - [BlueField data processing - DOCA](https://developer.nvidia.com/networking/doca)
      - [Accelerated Libraries - CUDA-X Libraries](https://developer.nvidia.com/gpu-accelerated-libraries)
      - [Deep Learning Inference - TensorRT](https://developer.nvidia.com/tensorrt)
      - [Deep Learning Training - cuDNN](https://developer.nvidia.com/cudnn)
      - [Deep Learning Frameworks](https://developer.nvidia.com/deep-learning-frameworks)
      - [Conversational AI - NeMo](https://developer.nvidia.com/nvidia-nemo)
      - [Generative AI - NeMo](https://www.nvidia.com/en-us/ai-data-science/generative-ai/nemo-framework/)
      - [Intelligent Video Analytics - DeepStream](https://developer.nvidia.com/deepstream-sdk)
      - [NVIDIA Unreal Engine 4](https://developer.nvidia.com/unrealengine)
      - [Ray Tracing - RTX](https://developer.nvidia.com/rtx)
      - [Video Decode/Encode](https://developer.nvidia.com/nvidia-video-codec-sdk)
      - [Automotive - DriveWorks SDK](https://developer.nvidia.com/drive/driveworks)
  - [Executives](https://www.nvidia.com/en-us/executive-insights/)
  - [Gamers](#nav-lvl1-tab4-lvl2-tab5)
    - GeForce
      - [Overview](https://www.nvidia.com/en-us/geforce/)
      - [GeForce Graphics Cards](https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/)
      - [Gaming Laptops](https://www.nvidia.com/en-us/geforce/gaming-laptops/)
      - [G-SYNC Monitors](https://www.nvidia.com/en-us/geforce/products/g-sync-monitors/)
      - [RTX Games](https://www.nvidia.com/en-us/geforce/20-series/rtx/)
      - [GeForce Experience](https://www.nvidia.com/en-us/geforce/geforce-experience/)
      - [GeForce Drivers](https://www.nvidia.com/en-us/geforce/drivers/)
      - [Forums](https://www.nvidia.com/en-us/geforce/forums/)
      - [Support](https://www.nvidia.com/en-us/geforce/GeForce%20Support/)
      - [Shop](https://store.nvidia.com/en-us/geforce/store/?page=1&limit=9&locale=en-us)
    - GeForce NOW
      - [Overview](https://www.nvidia.com/en-us/geforce-now/)
      - [Download](https://www.nvidia.com/en-us/geforce-now/download/)
      - [Games](https://www.nvidia.com/en-us/geforce-now/games/)
      - [Pricing](https://www.nvidia.com/en-us/geforce-now/memberships/)
      - [FAQs](https://www.nvidia.com/en-us/geforce/products/geforce-now/faq/)
      - [Forums](https://forums.geforce.com/default/board/199/geforce-now-for-mac-beta/)
      - [Support](https://www.nvidia.com/en-us/geforce-now/support/)
    - SHIELD
      - [Overview](https://www.nvidia.com/en-us/shield/)
      - [Compare](https://www.nvidia.com/en-us/shield/compare/)
      - [Shop](https://www.nvidia.com/en-us/shield/shop/)
      - [FAQs](https://nvidia.custhelp.com/app/answers/detail/a_id/4732)
      - [Knowledge Base](https://nvidia.custhelp.com/app/shield/st/5/p/178/page/1/)
  - [ISVs](https://www.nvidia.com/en-us/programs/isv/)
  - [IT Professionals](#nav-lvl1-tab4-lvl2-tab7)
    - Solutions
      - [Data Center (On-Premises)](https://www.nvidia.com/en-us/deep-learning-ai/solutions/on-premises/)
      - [Edge Computing](https://www.nvidia.com/en-us/edge-computing/)
      - [Cloud Computing](https://www.nvidia.com/en-us/data-center/gpu-cloud-computing/)
      - [Networking](https://www.nvidia.com/en-us/networking/)
      - [Virtualization](https://www.nvidia.com/en-us/data-center/virtualization/)
      - [Enterprise IT Solutions](https://www.nvidia.com/en-us/data-center/accelerated-computing-for-enterprise-it/)
    - Software
      - [AI Enterprise Suite](https://www.nvidia.com/en-us/data-center/products/ai-enterprise-suite/)
      - [Cloud Native Support](https://developer.nvidia.com/egx-stack)
      - [Cluster Management](https://developer.nvidia.com/cluster-management)
      - [Edge Deployment Management](https://www.nvidia.com/en-us/data-center/products/fleet-command/)
      - [AI Inference - Triton](https://www.nvidia.com/en-us/ai-data-science/products/triton-inference-server/)
      - [IO Acceleration](https://www.nvidia.com/en-us/data-center/magnum-io/)
      - [Networking](https://www.nvidia.com/en-us/networking/products/software/)
      - [Virtual GPU](https://www.nvidia.com/en-us/data-center/virtual-solutions/)
    - Apps and Tools
      - [Data Center](https://www.nvidia.com/en-us/data-center/software/)
      - [GPU Monitoring](https://developer.nvidia.com/dcgm)
      - [NVIDIA Quadro Experience](https://www.nvidia.com/en-us/design-visualization/software/quadro-experience/)
      - [NVIDIA RTX Desktop Manager](https://www.nvidia.com/en-us/design-visualization/software/rtx-desktop-manager/)
    - Resources
      - [Data Center & IT Resources](https://www.nvidia.com/en-us/data-center/resources/)
      - [Technical Training and Certification](https://academy.nvidia.com/en/)
      - [Enterprise Support](https://www.nvidia.com/en-us/support/enterprise/)
      - [Drivers](https://www.nvidia.com/en-us/drivers/)
      - [Security](https://www.nvidia.com/en-us/product-security/)
      - [Product Documentation](https://docs.nvidia.com/)
      - [Forums](https://forums.developer.nvidia.com/)
  - [Researchers](#nav-lvl1-tab4-lvl2-tab8)
    - [NVIDIA Research Home](https://www.nvidia.com/en-us/research/)
    - [Research Areas](https://www.nvidia.com/en-us/research/research-areas/)
    - [AI Playground](https://www.nvidia.com/en-us/research/ai-playground/)
    - [Video Highlights](https://www.youtube.com/user/NVIDIADeveloper)
    - [COVID-19](https://developer.nvidia.com/research/covid-19)
    - [NGC Catalog](https://catalog.ngc.nvidia.com/)
    - [Technical Training](https://www.nvidia.com/en-us/training/)
    - [Startups](https://www.nvidia.com/en-us/startups/)
    - [News](https://www.nvidia.com/en-us/research/news/)
    - [Developer Blog](https://developer.nvidia.com/blog/)
    - [Open Source Portal](https://developer.nvidia.com/open-source/)
    - [Cambridge-1 Supercomputer](https://www.nvidia.com/en-us/industries/healthcare-life-sciences/cambridge-1/)
    - [3D Deep Learning Research](https://developer.nvidia.com/nvidia-kaolin)
  - [Roboticists](#nav-lvl1-tab4-lvl2-tab9)
    - Products
      - [AI Training - DGX](https://www.nvidia.com/en-us/data-center/dgx-systems/)
      - [Edge Computing - EGX](https://www.nvidia.com/en-us/data-center/products/egx/)
      - [Embedded Computing - Jetson](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-xavier-nx/)
    - Software
      - [Robotics - Isaac ROS](https://developer.nvidia.com/isaac-ros)
      - [Simulation - Isaac Sim](https://developer.nvidia.com/isaac-sim)
      - [TAO Toolkit](https://developer.nvidia.com/transfer-learning-toolkit)
      - [Vision AI - Deepstream SDK](https://developer.nvidia.com/deepstream-sdk)
      - [Edge Deployment Management](https://www.nvidia.com/en-us/data-center/products/fleet-command/)
      - [Synthetic Data Generation - Replicator](https://developer.nvidia.com/nvidia-omniverse-platform/replicator)
    - Use Cases
      - [Healthcare and Life Sciences](https://www.nvidia.com/en-us/industries/healthcare/)
      - [Manufacturing](https://www.nvidia.com/en-us/industries/manufacturing/)
      - [Public Sector](https://www.nvidia.com/en-us/industries/public-sector/)
      - [Retail](https://www.nvidia.com/en-us/industries/retail/)
      - [Robotics](https://www.nvidia.com/en-us/deep-learning-ai/industries/robotics/)
      - [_More >_](https://www.nvidia.com/en-us/industries/)
    - Resources
      - [NVIDIA Blog](https://blogs.nvidia.com/blog/category/robotics/)
      - [Robotics Research](https://www.nvidia.com/en-us/research/)
      - [Developer Blog](https://developer.nvidia.com/blog?r=1&tags=&categories=robotics)
      - [Technical Training](https://www.nvidia.com/en-us/training/)
      - [Startups](https://www.nvidia.com/en-us/startups/)
  - [Startups](https://www.nvidia.com/en-us/startups/)
- - [Shop](https://store.nvidia.com/en-us/)
- [Drivers](https://www.nvidia.com/en-us/drivers/)
- [Support](https://www.nvidia.com/en-us/support/)

[Omniverse](https://www.nvidia.com/en-us/omniverse/)

Use Cases


- [3D Product Configurator](https://www.nvidia.com/en-us/use-cases/3d-product-configurator)
- [Autonomous Vehicle Simulation](https://www.nvidia.com/en-us/use-cases/autonomous-vehicle-simulation/)
- [Digital Twins](https://www.nvidia.com/en-us/omniverse/solutions/digital-twins/)
- [Reinforcement Learning](https://www.nvidia.com/en-us/use-cases/reinforcement-learning/)
- [Robotics Simulation](https://developer.nvidia.com/isaac-sim)
- [Synthetic Data Generation](https://www.nvidia.com/en-us/use-cases/synthetic-data/)
- [Virtual Factory](https://www.nvidia.com/en-us/use-cases/ai-for-virtual-factory-solutions/)

Platform


- [Cloud](javascript:void(0))
  - [Overview](https://www.nvidia.com/en-us/omniverse/cloud/)
  - [Graphics Delivery Network](https://www.nvidia.com/en-us/omniverse/solutions/stream-3d-apps/)
- [Developer Tools](https://developer.nvidia.com/omniverse)
- [Enterprise Licensing](https://www.nvidia.com/en-us/omniverse/enterprise/)
- [OpenUSD](javascript:void(0))
  - [Overview](https://www.nvidia.com/en-us/omniverse/usd/)
  - [Ecosystem](https://www.nvidia.com/en-us/omniverse/ecosystem/)
  - [Generative AI NIM Microservices](https://build.nvidia.com/explore/simulation)
  - [Simulation Ready Assets](https://developer.nvidia.com/omniverse/simready-assets)
- [Systems](javascript:void(0))
  - [NVIDIA Omniverse Enterprise Systems](https://www.nvidia.com/en-us/omniverse/platform/enterprise-systems/)
  - [NVIDIA Certified Systems](https://www.nvidia.com/en-us/data-center/products/certified-systems/)

Ecosystem


- [OpenUSD](javascript:void(0))
  - [Overview](https://www.nvidia.com/en-us/omniverse/usd/)
  - [Alliance for OpenUSD](http://www.aousd.org/)
  - [Learn OpenUSD](https://www.nvidia.com/en-us/learn/learning-path/openusd/)
  - [OpenUSD Connections](https://www.nvidia.com/en-us/omniverse/ecosystem/)
  - [Simulation Ready Assets](https://developer.nvidia.com/omniverse/simready-assets)
- [Partners](javascript:void(0))
  - [Ansys](https://www.nvidia.com/en-us/industries/industrial-sector/ansys/)
  - [Cadence](https://www.nvidia.com/en-us/industries/industrial-sector/cadence/)
  - [Microsoft](https://www.nvidia.com/en-us/data-center/gpu-cloud-computing/microsoft-azure/)
  - [Siemens](https://www.nvidia.com/en-us/industries/industrial-sector/siemens/)
  - [WPP](https://www.nvidia.com/en-us/industries/media-and-entertainment/wpp/)

[Community](https://developer.nvidia.com/omniverse/community)

- [Overview](https://developer.nvidia.com/omniverse/community)
- [News](https://www.nvidia.com/en-us/omniverse/news/)
- [Social](javascript:void(0))
  - [Discord](https://discord.gg/nvidiaomniverse)
  - [Instagram](https://www.instagram.com/nvidiaomniverse/)
  - [LinkedIn](https://www.linkedin.com/showcase/nvidia-omniverse/)
  - [Medium](https://medium.com/@nvidiaomniverse)
  - [Twitch](https://www.twitch.tv/nvidiaomniverse)
  - [X](https://twitter.com/nvidiaomniverse)
  - [YouTube](https://www.youtube.com/channel/UCSKUoczbGAcMld7HjpCR8OA)

Learn & Support


- [Blogs](javascript:void(0))
  - [Corporate Blog](https://blogs.nvidia.com/blog/tag/omniverse/)
  - [Medium Blog](https://medium.com/@nvidiaomniverse)
  - [Technical Blog](https://developer.nvidia.com/blog/tag/omniverse/)
- [Documentation](https://docs.omniverse.nvidia.com/)
- [Developer Guide](https://docs.omniverse.nvidia.com/prod_kit/prod_kit.html)
- [Support](javascript:void(0))
  - [Enterprise Support](https://www.nvidia.com/en-us/omniverse/enterprise/support/)
  - [Forums](https://forums.developer.nvidia.com/c/omniverse/300)
  - [Discord](https://discord.com/invite/nvidiaomniverse)
- [Learning](javascript:void(0))
  - [Self-Paced Courses](https://learn.nvidia.com/en-us/training/self-paced-courses?section=self-paced-courses&tab=graphics-simulation)
  - [Tutorials\*](https://omniverse.nvidia.com/tutorials)

[News](https://www.nvidia.com/en-us/omniverse/news/)

- Use Cases   - [3D Product Configurator](https://www.nvidia.com/en-us/use-cases/3d-product-configurator)
  - [Autonomous Vehicle Simulation](https://www.nvidia.com/en-us/use-cases/autonomous-vehicle-simulation/)
  - [Digital Twins](https://www.nvidia.com/en-us/omniverse/solutions/digital-twins/)
  - [Reinforcement Learning](https://www.nvidia.com/en-us/use-cases/reinforcement-learning/)
  - [Robotics Simulation](https://developer.nvidia.com/isaac-sim)
  - [Synthetic Data Generation](https://www.nvidia.com/en-us/use-cases/synthetic-data/)
  - [Virtual Factory](https://www.nvidia.com/en-us/use-cases/ai-for-virtual-factory-solutions/)
- Platform   - Cloud
  - [Developer Tools](https://developer.nvidia.com/omniverse)
  - [Enterprise Licensing](https://www.nvidia.com/en-us/omniverse/enterprise/)
  - [OpenUSD](https://www.nvidia.com/en-us/omniverse/usd/)
  - Systems
- Ecosystem   - OpenUSD
  - Partners
- Community   - [News](https://www.nvidia.com/en-us/omniverse/news/)
  - Social
- Learn & Support   - Blogs
  - [Documentation](https://docs.omniverse.nvidia.com/)
  - [Developer Guide](https://docs.omniverse.nvidia.com/prod_kit/prod_kit.html)
  - Support
  - Learning
- [News](https://www.nvidia.com/en-us/omniverse/news/)

- Use Cases
  - Use Cases
  - [3D Product Configurator](https://www.nvidia.com/en-us/use-cases/3d-product-configurator)
  - [Autonomous Vehicle Simulation](https://www.nvidia.com/en-us/use-cases/autonomous-vehicle-simulation/)
  - [Digital Twins](https://www.nvidia.com/en-us/omniverse/solutions/digital-twins/)
  - [Reinforcement Learning](https://www.nvidia.com/en-us/use-cases/reinforcement-learning/)
  - [Robotics Simulation](https://developer.nvidia.com/isaac-sim)
  - [Synthetic Data Generation](https://www.nvidia.com/en-us/use-cases/synthetic-data/)
  - [Virtual Factory](https://www.nvidia.com/en-us/use-cases/ai-for-virtual-factory-solutions/)
- Platform
  - Platform
  - Cloud
    - Cloud
    - [Overview](https://www.nvidia.com/en-us/omniverse/cloud/)
    - [Graphics Delivery Network](https://www.nvidia.com/en-us/omniverse/solutions/stream-3d-apps/)
  - [Developer Tools](https://developer.nvidia.com/omniverse)
  - [Enterprise Licensing](https://www.nvidia.com/en-us/omniverse/enterprise/)
  - OpenUSD
    - OpenUSD
    - [Overview](https://www.nvidia.com/en-us/omniverse/usd/)
    - [Ecosystem](https://www.nvidia.com/en-us/omniverse/ecosystem/)
    - [Generative AI NIM Microservices](https://build.nvidia.com/explore/simulation)
    - [Simulation Ready Assets](https://developer.nvidia.com/omniverse/simready-assets)
  - Systems
    - Systems
    - [NVIDIA Omniverse Enterprise Systems](https://www.nvidia.com/en-us/omniverse/platform/enterprise-systems/)
    - [NVIDIA Certified Systems](https://www.nvidia.com/en-us/data-center/products/certified-systems/)
- Ecosystem
  - Ecosystem
  - OpenUSD
    - OpenUSD
    - [Overview](https://www.nvidia.com/en-us/omniverse/usd/)
    - [Alliance for OpenUSD](http://www.aousd.org/)
    - [Learn OpenUSD](https://www.nvidia.com/en-us/learn/learning-path/openusd/)
    - [OpenUSD Connections](https://www.nvidia.com/en-us/omniverse/ecosystem/)
    - [Simulation Ready Assets](https://developer.nvidia.com/omniverse/simready-assets)
  - Partners
    - Partners
    - [Ansys](https://www.nvidia.com/en-us/industries/industrial-sector/ansys/)
    - [Cadence](https://www.nvidia.com/en-us/industries/industrial-sector/cadence/)
    - [Microsoft](https://www.nvidia.com/en-us/data-center/gpu-cloud-computing/microsoft-azure/)
    - [Siemens](https://www.nvidia.com/en-us/industries/industrial-sector/siemens/)
    - [WPP](https://www.nvidia.com/en-us/industries/media-and-entertainment/wpp/)
- Community
  - Community
  - [Overview](https://developer.nvidia.com/omniverse/community)
  - [News](https://www.nvidia.com/en-us/omniverse/news/)
  - Social
    - Social
    - [Discord](https://discord.gg/nvidiaomniverse)
    - [Instagram](https://www.instagram.com/nvidiaomniverse/)
    - [LinkedIn](https://www.linkedin.com/showcase/nvidia-omniverse/)
    - [Medium](https://medium.com/@nvidiaomniverse)
    - [Twitch](https://www.twitch.tv/nvidiaomniverse)
    - [X](https://twitter.com/nvidiaomniverse)
    - [YouTube](https://www.youtube.com/channel/UCSKUoczbGAcMld7HjpCR8OA)
- Learn & Support
  - Learn & Support
  - Blogs
    - Blogs
    - [Corporate Blog](https://blogs.nvidia.com/blog/tag/omniverse/)
    - [Medium Blog](https://medium.com/@nvidiaomniverse)
    - [Technical Blog](https://developer.nvidia.com/blog/tag/omniverse/)
  - [Documentation](https://docs.omniverse.nvidia.com/)
  - [Developer Guide](https://docs.omniverse.nvidia.com/prod_kit/prod_kit.html)
  - Support
    - Support
    - [Enterprise Support](https://www.nvidia.com/en-us/omniverse/enterprise/support/)
    - [Forums](https://forums.developer.nvidia.com/c/omniverse/300)
    - [Discord](https://discord.com/invite/nvidiaomniverse)
  - Learning
    - Learning
    - [Self-Paced Courses](https://learn.nvidia.com/en-us/training/self-paced-courses?section=self-paced-courses&tab=graphics-simulation)
    - [Tutorials\*](https://omniverse.nvidia.com/tutorials)
- [News](https://www.nvidia.com/en-us/omniverse/news/)

![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=)

# NVIDIA Omniverse

The platform for developing OpenUSD applications for industrial digitalization and generative physical AI.

[Get Started](#next-steps)

- [Overview](#overview)
- [Benefits](#benefits)
- [Features](#features)
- [Generative AI for USD](#nim)
- [Use Cases](#use-cases)
- [Resources](#resources)
- [Next Steps](#next-steps)
- [FAQs](#faqs)

- [Overview](#overview)
- [Benefits](#benefits)
- [Features](#features)
- [Generative AI for USD](#nim)
- [Use Cases](#use-cases)
- [Resources](#resources)
- [Next Steps](#next-steps)
- [FAQs](#faqs)

- [Overview](#overview)
- [Benefits](#benefits)
- [Features](#features)
- [Generative AI for USD](#nim)
- [Use Cases](#use-cases)
- [Resources](#resources)
- [Next Steps](#next-steps)
- [FAQs](#faqs)

[Get Started](#next-steps)


Overview



## Design, Develop, and Deploy the Next Era of 3D Applications and Services

NVIDIA Omniverse™ is a platform of APIs, SDKs, and services that enable developers to easily integrate [Universal Scene Description (OpenUSD)](https://www.nvidia.com/en-us/omniverse/usd/) and RTX rendering technologies into existing software tools and simulation workflows for building AI systems.

### Easily Customize and Extend

Develop new tools and workflows from scratch with low- and no-code sample apps and easy-to-modify extensions with Omniverse SDKs.

### Enhance Your 3D Applications

Supercharge your existing software tools and applications with OpenUSD, RTX, accelerated computing, and generative AI technologies through Omniverse Cloud APIs.

### Deploy Anywhere

Develop and deploy custom applications on RTX-enabled workstations or virtual workstations, or host and stream your application from [Omniverse Cloud](https://www.nvidia.com/en-us/omniverse/cloud/).


Features



## Connect and Enhance 3D Applications

Take advantage of OpenUSD, RTX, and generative AI technologies to build 3D applications and tools that bring interoperability and advanced graphics to [digital twin](https://www.nvidia.com/en-us/omniverse/solutions/digital-twins/) use cases.

![Start developing custom applications and tools](/content/dam/en-zz/Solutions/omniverse/nvidia-omniverse-features-sdk-bb580_440-d.jpg)


Software Development Kit (SDK)



### Build and Deploy New Applications

Start developing custom applications and tools from scratch with Omniverse Kit SDK for local and virtual workstations. Deploy through your own channels, or deploy and stream via Omniverse Cloud platform-as-a-service.

[Download Now](https://www.nvidia.com/en-us/omniverse/download/)

![Omniverse Cloud APIs](/content/dam/en-zz/Solutions/omniverse/nvidia-omniverse-features-cloud-apis-bb580_440-d.jpg)


Cloud APIs



### Supercharge Your Software Portfolio

Easily integrate OpenUSD data interoperability and NVIDIA RTX™ physically based, real-time rendering directly into your applications, workflows, and services by calling Omniverse Cloud APIs.

[Learn More](https://www.nvidia.com/en-us/omniverse/cloud/)


NVIDIA NIM Microservices



## Bring Generative AI to OpenUSD Workflows

**Announcements**

## NVIDIA Announces Generative AI Models and NIM Microservices for OpenUSD Language, Geometry, Physics and Materials

New services accelerate Universal Scene Description-based workflows and development of industrial digital twins and robotics.

[Read Press Release](https://nvidianews.nvidia.com/news/nvidia-expands-openusd-to-generative-ai-for-robotics-industrial-digitalization-markets)

**Announcements**

## NVIDIA Accelerates Humanoid Robotics Development

Developers gain access to new NVIDIA NIM microservices for robotics simulation in Isaac Lab and Isaac Sim, OSMO robot cloud compute orchestration service, teleoperated data capture workflow and more.

[Read Press Release](https://nvidianews.nvidia.com/news/nvidia-accelerates-worldwide-humanoid-robotics-development) [Watch Demo](https://youtu.be/Bhg3uOx9ZPw)

**Announcements**

## Recipe for Magic: WPP and NVIDIA Omniverse Help The Coca-Cola Company Scale Generative AI Content That Pops With Brand Authenticity

With NVIDIA NIM microservices USD Search and USD Code, marketing leader WPP is enabling the beverage company to accelerate iteration on creative campaigns at a global scale.

[Read Blog](https://blogs.nvidia.com/blog/coca-cola-wpp-omniverse-generative-ai) [Watch Demo](https://youtu.be/tY8Lk8mWJgg)

**Announcements**

## NVIDIA Supercharges Digital Marketing With Greater Control Over Generative AI

World’s leading creative and production services agencies are among the first to adopt OpenUSD and NVIDIA NIM microservices to create brand-accurate visuals.

[Read Blog](https://blogs.nvidia.com/blog/nvidia-supercharges-marketing-agencies-generative-ai)

**Announcements**

## AI Gets Physical: New NVIDIA NIM Microservices Bring Generative AI to Digital Environments

Generative physical AI NIM microservices — and NVIDIA Metropolis reference workflows — are helping create intelligent, immersive work environments.

[Read Blog](https://blogs.nvidia.com/blog/generative-physical-ai-nim-microservices/)

**Announcements**

## Reality Reimagined: NVIDIA Introduces fVDB to Build Bigger Digital Models of the World

Announced at SIGGRAPH, the new deep-learning framework creates AI-ready virtual representations for autonomous vehicles, climate science and smart cities.

[Read Blog](https://blogs.nvidia.com/blog/fvdb-bigger-digital-models/)

PreviousNext

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3. Slide 3
4. Slide 3
5. Slide 1
6. Slide 2


Use Cases



## How Developers Are Using NVIDIA Omniverse

See how developers across industries are building [generative physical AI](https://www.nvidia.com/en-us/glossary/generative-physical-ai/) and industrial digitalization applications with Omniverse SDKs and APIs.

2. **Autonomous Vehicle Simulation**

3. **Configurator Development**

4. **Reinforcement Learning**

5. **Synthetic Data Generation**

6. **Virtual Factory Integration**

### Autonomous Vehicle Simulation

With NVIDIA Omniverse™ Cloud APIs for Autonomous Vehicle Simulation, sim developers can enhance their AV simulation workflows with high-fidelity sensor simulation, physics, and realistic behavior for training perception models and validating the AV software stack in closed-loop testing.

[Explore the AV Simulation Use Case](https://www.nvidia.com/en-us/use-cases/autonomous-vehicle-simulation/)

### Product Configurators

Develop and deploy OpenUSD and generative AI-enabled product configurator tools and experiences to nearly any device, and bring interactive experiences to automotive, retail, and media and entertainment.

[Explore the Configurator Development Use Case](https://www.nvidia.com/en-us/use-cases/3d-product-configurator/)

Katana

### Reinforcement Learning

With reinforcement learning in simulation, robots can train in any virtual environment through trial and error. This allows robots to develop sophisticated gross and fine motor skills needed for real-world automation tasks, such as grasping novel objects, quadrupedal walking, and learning complex manipulation skills.

[Explore the Reinforcement Learning Use Case](https://www.nvidia.com/en-us/use-cases/reinforcement-learning/)

Agility, Apptronik, Fourier Intelligence, Unitree

### Synthetic Data Generation

Developers can save a significant amount of training time and greatly reduce costs by using synthetic data in conjunction with real-world data to create carefully labeled datasets for training multi-modal physical AI models.

[Explore the Synthetic Data Generation Use Case](https://www.nvidia.com/en-us/use-cases/synthetic-data/)

### Virtual Factory Integration

Leverage Omniverse SDKs and APIs to develop advanced virtual factory solutions and bring data interoperability, physically based visualization, generative AI, and real-time collaboration to your software.

[Explore the Virtual Factory Integration Use Case](https://www.nvidia.com/en-us/use-cases/ai-for-virtual-factory-solutions/)

Delta Electronics

[Explore All Use Cases](https://www.nvidia.com/en-us/use-cases/)

![Develop on NVIDIA Omniverse Platform](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=)


OpenUSD Ecosystem



## Enabling 3D Interoperability

Omniverse is a native OpenUSD development platform for building interoperable applications and workflows.

[Explore Ecosystem](https://www.nvidia.com/en-us/accelerated-applications/usd-ecosystem/)

![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=)

## Get Inspired and Connect With Developers in the Omniverse Community

[Learn More](https://developer.nvidia.com/omniverse/community)


Resources



## The Latest Omniverse Content

2. **Latest News**

3. **Success Stories**

4. **Sessions**

5. **Demos**

[See All Omniverse News](https://blogs.nvidia.com/blog/tag/omniverse/)

Siemens, HD Hyundai

### Bring Immersive Visualization to Product Lifecycle Management

Siemens is driving a new era of industrial digitalization with Omniverse and generative AI integration across the Siemens Xcelerator portfolio.

[Our Partnership With Siemens](https://www.nvidia.com/en-us/omniverse/digital-twins/siemens/) [Watch the Demo](https://www.youtube.com/watch?v=rrb2tPHiLRo)

Foretellix

### Safely Deploy Autonomous Vehicles

Foretellix, an AV validation tool developer, unlocks sensor simulation with Omniverse Cloud APIs to improve safety while accelerating workflows and reducing costs.

[Watch the Demo](https://www.youtube.com/watch?v=XeHtw36h-eI)

Microsoft Azure

### Accelerate Industrial Digitalization Workflows

Microsoft Azure, Hexagon AB, and Rockwell Automation bring data interoperability, collaboration, and physically based visualization to industrial digital twin software tools.

[Our Partnership With Microsoft](https://www.nvidia.com/en-us/data-center/gpu-cloud-computing/microsoft-azure/) [Watch the Demo](https://www.youtube.com/watch?v=3hLEj0i7fug)

Ansys

### Accelerate a New Era of Digital Engineering

NVIDIA and Ansys are expanding our long-standing partnership to include new opportunities in AI and power a wave of industrial digital twin software tools.

[Our Partnership With Ansys](https://www.nvidia.com/en-us/industries/industrial-sector/ansys/)

3DEXCITE, a Dassault Systèmes Brand

### Develop Lifelike and Immersive Customer Experiences

OpenUSD and NVIDIA technologies have enabled Dassault Systèmes to accelerate product commercialization with generative storytelling for manufacturers and marketers.

[Watch the Demo](https://www.youtube.com/watch?v=LAVXuDK83iA)

Foxconn

### Building Digital Twins of Foxconn’s Robotic Factories

The world’s largest electronics manufacturer is gearing up to make one of NVIDIA’s most complex products, so it’s turning to a digital twin powered by the [NVIDIA Isaac™](https://developer.nvidia.com/isaac) and Omniverse platforms.

[Watch the Demo](https://www.youtube.com/watch?v=HjpwGgmt57U)

Cadence

### Build Digital Twins of the Most Advanced AI Supercomputers

NVIDIA and our ecosystem of partners are building up new AI factories faster than ever with Omniverse and AI.

[Our Partnership With Cadence](https://www.nvidia.com/en-us/industries/industrial-sector/cadence/) [Watch the Demo](https://www.youtube.com/watch?v=h68kXLIRilM)

WPP

### Building a Generative AI-Enabled Content Engine

WPP is building a content engine harnessing NVIDIA AI and Omniverse, enabling creative teams to produce high-quality advertising at scale more efficiently, while remaining fully aligned with a client’s brand.

[Our Partnership With WPP](https://www.nvidia.com/en-us/industries/media-and-entertainment/wpp/) [Watch the Demo](https://resources.nvidia.com/en-us-omniverse-cloud/watch-73)

PreviousNext

1. Bring Immersive Visualization to Product Lifecycle Management
2. Safely Deploy Autonomous Vehicles
3. Accelerate Industrial Digitalization Workflows
4. Accelerate a New Era of Digital Engineering
5. Develop Lifelike and Immersive Customer Experiences
6. Building Digital Twins of Foxconn’s Robotic Factories
7. Build Digital Twins of the Most Advanced AI Supercomputers
8. Building a Generative AI-Enabled Content Engine


Next Steps



## Ready to Get Started?

Find everything you need to start developing your Omniverse-based OpenUSD application, including the latest documentation, tutorials, technical blogs, and more.

[Start Developing](https://developer.nvidia.com/omniverse)

### Download Omniverse Developer Tools and SDK

Develop an OpenUSD-native application from scratch with the Omniverse Kit SDK and developer tooling, including the Omniverse App Streaming API and the legacy Omniverse Launcher. When ready to deploy, containerize for local or self-hosted cloud usage​, or host and stream from [Omniverse Cloud PaaS](https://www.nvidia.com/en-us/omniverse/cloud/).

[Download](https://www.nvidia.com/en-us/omniverse/download/)

### Explore Omniverse Cloud Sensor RTX™ APIs

Leverage Omniverse core technologies for OpenUSD and RTX in your existing applications and services using simple APIs.

[Explore](https://www.nvidia.com/en-us/omniverse/cloud/)

### Licensing for the Enterprise

Talk to an NVIDIA product specialist about moving from pilot to production with the security, API stability, and support of [NVIDIA Omniverse Enterprise](https://www.nvidia.com/en-us/omniverse/enterprise/).

[Contact Us](https://www.nvidia.com/en-us/omniverse/contact/) [30-Day Trial](https://www.nvidia.com/en-us/omniverse/enterprise/free-trial/)

## Frequently Asked Questions

### What is NVIDIA Omniverse?

NVIDIA Omniverse is a platform of APIs, services, and software development kits (SDKs) that enable developers to build generative AI-enabled tools, applications, and services for industrial digitalization workflows. Applications built on Omniverse core technologies fundamentally transform complex 3D workflows, allowing individuals and teams to build unified tool and data pipelines and simulate large-scale, physically accurate virtual worlds for industrial and scientific use cases.

### How can I develop on NVIDIA Omniverse?

There are two methods to get started with developing on NVIDIA Omniverse:

**Platform SDK**

For developers looking to build an application from scratch, NVIDIA offers Omniverse Kit SDK and developer tooling, including the Omniverse App Streaming API and the legacy Omniverse Launcher, to get started.

Download the platform SDK [here](https://www.nvidia.com/en-us/omniverse/download/).

**Cloud APIs**

For developers looking to take only the pieces they need, NVIDIA offers Omniverse core technologies that are exposed as simple APIs that developers can self-host on any cloud, multi-cloud, or virtual private cloud, or they can be consumed as a managed service from NVIDIA Omniverse Cloud on Microsoft Azure.

Omniverse core APIs give developers the ability to integrate USD data ingest and RTX-enabled output.

[Get notified](https://www.nvidia.com/en-us/omniverse/cloud/apis-notify-me/) as Omniverse Cloud APIs become available.

### When are NVIDIA Omniverse Cloud APIs available?

NVIDIA Omniverse Cloud APIs are currently in early access— [get notified](https://www.nvidia.com/en-us/omniverse/cloud/apis-notify-me/) as they become available.

### Is there an enterprise-supported version of Omniverse?

Yes, explore [NVIDIA Omniverse Enterprise](https://www.nvidia.com/en-us/omniverse/enterprise/).

### What infrastructure is recommended for Omniverse?

We recommend deploying Omniverse Enterprise on [NVIDIA RTX professional workstations and servers](https://www.nvidia.com/en-us/omniverse/platform/enterprise-systems/), as this would include NVIDIA Enterprise Support across the entire deployment stack. GeForce RTX products do not include Enterprise Support.

If you’re looking for fast-track access to secure cloud service infrastructure and NVIDIA Omniverse software and services—from anywhere—learn more about our [Omniverse Cloud platform-as-a-service](https://www.nvidia.com/en-us/omniverse/cloud/) offering.

Still have questions on what fits your enterprise needs best? [Get in touch](https://www.nvidia.com/en-us/omniverse/contact/) with an expert.

Products

- [NVIDIA Omniverse Enterprise](https://www.nvidia.com/en-us/omniverse/enterprise/)
- [NVIDIA Omniverse Enterprise 30 Day Trial](https://www.nvidia.com/en-us/omniverse/enterprise/free-trial/)
- [NVIDIA Omniverse Enterprise Systems](https://www.nvidia.com/en-us/omniverse/platform/enterprise-systems/)
- [NVIDIA Omniverse Cloud](https://www.nvidia.com/en-us/omniverse/cloud/)
- [NVIDIA OVX](https://www.nvidia.com/en-us/data-center/products/ovx/)
- [NVIDIA Omniverse SDK](https://developer.nvidia.com/omniverse)

Resources

- [Blogs](https://www.nvidia.com/en-us/omniverse/news)
- [Development Starter Kit](https://developer.nvidia.com/learning-library?refinementList%5Bproducts%5D%5B0%5D=Omniverse&page=1)
- [Documentation](https://docs.omniverse.nvidia.com/)
- [On-Demand Webinars](https://www.nvidia.com/en-us/on-demand/search/?session&layout=list&page=1&q=omniverse)
- [Self-Paced Trainings](https://learn.nvidia.com/en-us/training/self-paced-courses?section=self-paced-courses&tab=graphics-simulation)

Community

- [Get Involved](https://developer.nvidia.com/omniverse/community)
- [Omniverse Forum](https://forums.developer.nvidia.com/c/omniverse/300)
- [Discord](https://discord.gg/nvidiaomniverse)
- [Instagram](https://www.instagram.com/nvidiaomniverse/)
- [Medium](https://medium.com/@nvidiaomniverse)
- [Twitch](https://www.twitch.tv/nvidiaomniverse)
- [X](https://twitter.com/nvidiaomniverse)
- [YouTube](https://www.youtube.com/channel/UCSKUoczbGAcMld7HjpCR8OA)

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