1. [Topics](https://developer.nvidia.com/topics/)
2. [AI](https://developer.nvidia.com/topics/ai/)
3. 
XR

# Extended Reality

Extended reality (XR) is the merging of physical and digital worlds, enabling users to interact with virtual environments, integrate digital elements into reality, and create transformative experiences in entertainment, work, and beyond.

Find tutorials, samples, videos, and more:

[Learning Library ](#library)

Key Topics:

- 
Immersive Technologies  

- 
Spatial Computing
- 
- 
Artificial Intelligence

[![](https://developer.download.nvidia.com/images/katana-demo-ari.jpg)](https://developer.download.nvidia.com/images/katana-demo-ari.jpg)

Click Image to Enlarge  
_Katana_

## Extended Reality and Spatial Computing: The Interface for Physical and Agentic AI

[Extended reality](https://www.nvidia.com/en-us/design-visualization/solutions/virtual-reality/) (XR) is an umbrella term for immersive technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR) that blend the physical and digital worlds, while [spatial computing](https://www.nvidia.com/en-us/glossary/spatial-computing/) is the broader paradigm in which digital intelligence understands and interacts with the physical world in real time.  
  
NVIDIA’s comprehensive offerings in this space bridge the gap between heavy computational requirements and lightweight mobile devices through a suite of advanced hardware and software solutions. By centralizing the heavy lifting on [NVIDIA RTX™](https://www.nvidia.com/en-us/technologies/rtx/)-powered servers and workstations, NVIDIA allows you to bypass the processing limits of mobile hardware and stream complex, photorealistic environments with zero model decimation. These technologies leverage the dedicated ray-tracing and AI cores of the RTX architecture to power full-fidelity XR and spatial computing experiences—delivering unmatched visual realism and physically accurate simulations to any untethered device.

## Explore XR Technologies

### NVIDIA CloudXR

Stream high-fidelity XR content from RTX-powered servers to an open ecosystem of devices. Built as a universal OpenXR bridge, NVIDIA CloudXR™ 6.0 delivers native visionOS integration and frictionless web-based access via [CloudXR.js.](https://developer.nvidia.com/topics/ai/xr/cloudxr-js-sdk)

[Get Started With CloudXR](https://developer.nvidia.com/nvidia-cloudxr-sdk)

### NVIDIA Omniverse  

NVIDIA Omniverse™ is a collection of libraries and microservices for developing industrial digital twins and physical AI simulation applications. Stream complex OpenUSD stages directly to Apple Vision Pro with full RTX visual fidelity.

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

### NVIDIA Professional VR Ready Solutions  

NVIDIA VR Ready systems deliver unparalleled performance for smooth, immersive virtual reality experiences.

[Get Started With VR Ready](https://www.nvidia.com/en-us/design-visualization/solutions/vr-ready-systems/)

### NVIDIA VR Capture and Replay  

NVIDIA Virtual Reality Capture and Replay (VCR) enables developers to accurately capture and replay VR content for performance testing, scene quality control, and more.

[Get Started With VCR](/vcr-early-access)

### NVIDIA VRWorks

NVIDIA VRWorks™ enables VR application and headset developers to create amazing virtual reality experiences, improving VR performance and visual quality.

[Get Started With VRWorks](/vrworks)

### NVIDIA Warp

Warp enables Python developers to create GPU-accelerated, 3D simulation workflows that drive ML pipelines in PyTorch, JAX, PhysicsNeMo, and NVIDIA Omniverse.

[Get Started With Warp](https://developer.nvidia.com/warp-python)

### NVIDIA XR AI

NVIDIA XR AI is a framework that connects XR devices—such as lightweight AR/AI glasses or head-mounted displays—to your organization’s full computational power, enabling spatially aware, intelligent agents to operate seamlessly across cloud, data center, workstation, and edge deployments.

[Get Started With XR AI](/xr/xr-ai)

## 
## XR 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.

| links | title | excerpt | featured | products | sort_key | created_at | content_type | learning_levels |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/build-scalable-immersive-experiences-with-networking-apis-swift-support-and-more-using-nvidia-cloudxr-3-2/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Build Scalable Immersive Experiences with Networking APIs, Swift Support, and More Using NVIDIA CloudXR 3.2 | The latest release of NVIDIA CloudXR includes some of the most requested features from the developer community, such as support for preconfiguring a remote server. | false | CloudXR | 2\|build scalable immersive experiences with networking apis, swift support, and more using nvidia cloudxr 3.2 | 1652695200 | Blog |  |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/dialed-into-5g-cloudxr-4-0-brings-enhanced-flexibility-and-scalability-for-xr-deployment/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Dialed Into 5G: NVIDIA CloudXR 4.0 Brings Enhanced Flexibility and Scalability for XR Deployment | During GTC 2023, NVIDIA announced the latest release of NVIDIA CloudXR that enables you to customize this SDK for your applications and customers… | false | CloudXR | 2\|dialed into 5g: nvidia cloudxr 4.0 brings enhanced flexibility and scalability for xr deployment | 1679551200 | Blog |  |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/insiders-guide-to-gtc-ar-vr-rendering-simulation-and-video-streaming/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Insider’s Guide to GTC: AR/VR, Rendering, Simulation, and Video Streaming | Notable sessions in the making of Green Planet AR, animating realistic digital humans, building a power industry digital twin, and making virtual production more... | false | CloudXR, DLSS, Maxine, PhysicsNeMo, Nsight Tools - Graphics | 2\|insider’s guide to gtc: ar/vr, rendering, simulation, and video streaming | 1646899998 | Blog |  |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/developing-the-next-generation-of-extended-reality-applications-with-speech-ai/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Developing the Next Generation of Extended Reality Applications with Speech AI | Technical tutorial for extended reality (XR) developers adding speech AI skills, like ASR and TTS, to AR/VR/MR applications using Riva SDK as an example. | false | CloudXR, Riva | 2\|developing the next generation of extended reality applications with speech ai | 1663146000 | Blog |  |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/rtx-powered-spatial-framework-delivers-full-ray-tracing-with-usd-for-xr-pipelines/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | RTX-Powered Spatial Framework Delivers Full Ray Tracing with USD for XR Pipelines | Learn about building XR into your applications and creating immersive experiences using Omniverse Kit 105. | false | CloudXR, Omniverse, RTX GPU | 2\|rtx-powered spatial framework delivers full ray tracing with usd for xr pipelines | 1691494260 | Blog |  |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/delivering-one-click-vr-streaming-using-innoactive-portal-and-nvidia-cloudxr/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Delivering One-Click VR Streaming Using Innoactive Portal and NVIDIA CloudXR | Building one-click delivery of PC-based VR applications to standalone devices by streaming from the Cloud using NVIDIA CloudXR SDK and Innoactive Portal. | false | CloudXR | 2\|delivering one-click vr streaming using innoactive portal and nvidia cloudxr | 1647269955 | Blog |  |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/deploying-xr-applications-in-private-networks-on-a-server-platform/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Deploying XR Applications in Private Networks on a Server Platform | Learn how servers can be built to deliver immersive workloads and take advantage of compute power to combine streaming XR applications with AI and other computing... | false | CloudXR, RTX GPU | 2\|deploying xr applications in private networks on a server platform | 1648022400 | Blog |  |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/building-xr-applications-on-pc-for-high-quality-graphics/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Building XR Applications on PC for High-Quality Graphics | When it comes to creating immersive, virtual environments, users want the experience to look as realistic and lifelike as possible. And while AIO headsets… | false | CloudXR, Omniverse, Omniverse ACE, RTX GPU | 2\|building xr applications on pc for high-quality graphics | 1676451600 | Blog |  |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/advancing-physical-ai-with-nvidia-cosmos-world-foundation-model-platform/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | An Introduction to Cosmos | Learn about NVIDIA Cosmos and its key features that help developers accelerate up physical AI development. | false | Cosmos, DRIVE, Jetson, NeMo, NeMo Curator, Omniverse | 1\|an introduction to cosmos | 1791278003 | Blog | Beginner |
| {&quot;url&quot; =&gt; &quot;https://blogs.nvidia.com/blog/2022/05/20/what-is-extended-reality/#new_tab&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Explainer: What Is Extended Reality? | Extended reality, or XR, is a collective term that refers to immersive technologies, including virtual reality, augmented reality, and mixed reality. | false | CloudXR | 2\|explainer: what is extended reality? | 1664971200 | Blog | General Interest |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/different-types-of-edge-computing/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Different Types of Edge Computing | Edge computing can take different forms, each with specific use cases. This post looks at several types of far edge and near edge scenarios and how they&#39;re used. | false | CloudXR, Metropolis | 2\|different types of edge computing | 1645000200 | Blog |  |
| {&quot;url&quot; =&gt; &quot;https://nvda.ws/3QCUqDz#new_tab&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Featured Spatial Computing and XR Sessions at NVIDIA GTC 2025 | Explore the future of extended reality, and learn how spatial computing is changing the future of immersive development and industry workflows. | false | CloudXR, Omniverse | 2\|featured spatial computing and xr sessions at nvidia gtc 2025 | 1740504926 | Blog | Beginner, Intermediate |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/accelerate-custom-video-foundation-model-pipelines-with-new-nvidia-nemo-framework-capabilities/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Accelerate Custom VFM Pipelines | Brand new video foundation model capabilities in the NVIDIA NeMo framework are helping revolutionize various industries including robotics, autonomous vehicles, and entertainment. | false | Cosmos | 1\|accelerate custom vfm pipelines | 1791278003 | Blog | Beginner |
| {&quot;url&quot; =&gt; &quot;https://research.nvidia.com/publication/2025-03_cosmos-transfer-1-world-world-transfer-adaptive-multi-control-physical-ai&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Cosmos Transfer1 Research Paper | This paper introduces Cosmos Transfer, a World-to-World Transfer model deisgned to bridge the perceptual divide between simulated and real-world environments. | false | Cosmos | 1\|cosmos transfer1 research paper | 1791278003 | Research | General Interest |
| {&quot;url&quot; =&gt; &quot; https://research.nvidia.com/publication/2025-03_cosmos-reason-1-physical-ai-common-sense-embodied-decisions&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Cosmos Reason1 Research Paper | This paper introduces Cosmos Reason1 models that can understand the physical world and generate appropriate embodied decisions in natural language. | false | Cosmos | 1\|cosmos reason1 research paper | 1791278003 | Research | General Interest |
| {&quot;url&quot; =&gt; &quot;https://research.nvidia.com/publication/2025-01_cosmos-world-foundation-model-platform-physical-ai&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | WFM Platform for Physical AI | Read how Cosmos is helping physical AI developers solve some of the most critical problems of our society. | false | Cosmos | 1\|wfm platform for physical ai | 1791278003 | Whitepaper | General Interest |
| {&quot;url&quot; =&gt; &quot;https://www.youtube.com/watch?v=dqP-I59wUwU&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Build Custom World Foundation Models | Learn how to get started with Cosmos WFMs in the NVIDIA NeMo framework with a model setup, inference, raw video data curation and post-training overview. | false | Cosmos, NeMo Curator | 1\|build custom world foundation models | 1791278003 | Video | Beginner |
| {&quot;url&quot; =&gt; &quot;https://huggingface.co/collections/nvidia/cosmos-6751e884dc10e013a0a0d8e6&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | WFMs on Hugging Face | Explore the first wave of first versions of pre-trained models on Hugging Face for generating physics-aware videos and world states are now available openly to developers. | false | Cosmos | 1\|wfms on hugging face | 1791278003 | Model | General Interest |
| {&quot;url&quot; =&gt; &quot;https://soundcloud.com/theaipodcast/world-foundation-models&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Introduction to WFMs | Listen to Ming-Yu Liu, VP of research at NVIDIA, discuss the significance of world foundation models and their potenital to transform various industries on the NVIDIA AI Podcast. | false | Cosmos | 1\|introduction to wfms | 1791278003 | Podcast | General Interest |
| {&quot;url&quot; =&gt; &quot;https://catalog.ngc.nvidia.com/orgs/nvidia/teams/cosmos/collections/cosmos&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | WFMs on NGC | Explore the first wave of first versions of pre-trained models on NGC for generating physics-aware videos and world states are now available openly to developers. | false | Cosmos | 1\|wfms on ngc | 1791278003 | Model | General Interest |
| {&quot;url&quot; =&gt; &quot;https://youtu.be/9Uch931cDx8&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Accelerating Physical AI | Watch this demo to learn about the integration of Cosmos with NVIDIA Omniverse to create a sim-to-real synthetic data and multiverse simulation engine for physical AI. | false | Cosmos | 1\|accelerating physical ai | 1791278003 | Demo | General Interest |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/advanced-sensor-physics-customization-and-model-benchmarking-coming-to-nvidia-isaac-sim-and-nvidia-isaac-lab/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | NVIDIA Isaac Sim &amp; Lab Updates Accelerate Robot Development | NVIDIA announced updates to Isaac Sim and Lab at COMPUTEX 2025 to accelerate robot development, focusing on simulation and robot learning | false | Cosmos, Isaac Sim, Isaac | 1\|nvidia isaac sim &amp; lab updates accelerate robot development | 1791278003 | Blog | General Interest |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/simplify-end-to-end-autonomous-vehicle-development-with-new-nvidia-cosmos-world-foundation-models/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Simplify AV Development with New World Foundation Models | Integrate Cosmos models into existing AV workflows to accelerate model training, improve generalization, and address edge cases more effectively. | false | Cosmos, DRIVE, DRIVE AV | 1\|simplify av development with new world foundation models | 1791278003 | Blog | General Interest |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/accelerating-av-simulation-with-neural-reconstruction-and-world-foundation-models/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | AV Simulation with Neural Reconstruction and Cosmos | Create realistic, diverse training data from real-world environments with AV simulation using neural reconstructions and Cosmos models. | true | Cosmos, DRIVE, DRIVE AV, Omniverse | 0\|av simulation with neural reconstruction and cosmos | 1791278003 | Blog | General Interest |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/petabyte-scale-video-processing-with-nvidia-nemo-curator-on-nvidia-dgx-cloud/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Accelerating Petabyte-Scale Video Processing | NVIDIA NeMo Curator on DGX Cloud optimizes large-scale video processing, boosting throughput and reducing costs for for training and fine-tuning WFMs. | false | Cosmos, NeMo, DGX Cloud, NeMo Curator | 1\|accelerating petabyte-scale video processing | 1791278003 | Blog | Beginner |
| {&quot;url&quot; =&gt; &quot;https://github.com/NVIDIA/Cosmos/tree/main/cosmos1/models/diffusion/nemo/post_training&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Policy Evaluation and Action Generation User Guide | Learn how to post-train Cosmos Diffusion-based World Foundation Models (WFMs) using the NVIDIA NeMo Framework for your custom Physical AI tasks by following this guide. | false | Cosmos | 1\|policy evaluation and action generation user guide | 1791278003 | Documentation | Beginner |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/scale-synthetic-data-and-physical-ai-reasoning-with-nvidia-cosmos-world-foundation-models/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Scale Synthetic Data with NVIDIA Cosmos WFMs | Explore how to use the latest Cosmos WFMs—Transfer, Predict, and Reason—and their key capabilities that advance physical AI. | false | Cosmos | 1\|scale synthetic data with nvidia cosmos wfms | 1791278003 | Blog | General Interest |
| {&quot;url&quot; =&gt; &quot;https://huggingface.co/blog/PranjaliJoshi/cosmos-reason-world-foundation-model&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | NVIDIA Cosmos Reason Now Available on Hugging Face | Read how Cosmos Reason generates accurate captions and decisions for synthetic data, enhancing training for robots and autonomous vehicles. | false | Cosmos, Isaac Sim, Isaac | 1\|nvidia cosmos reason now available on hugging face | 1791278003 | Blog | General Interest |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/curating-synthetic-datasets-to-train-physical-ai-models-with-nvidia-cosmos-reason/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Bridging Physical AI and Embodied Reasoning | Cosmos Reason enhances the decision-making and interaction capabilities of robots and autonomous vehicles with SDG. | false | Cosmos, DRIVE AV | 1\|bridging physical ai and embodied reasoning | 1791278003 | Blog | General Interest |
| {&quot;url&quot; =&gt; &quot;https://youtu.be/kChwwFb5gMU?feature=shared&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Introduction to World Foundation Models | Listen to NVIDIA’s VP of Generative AI Research, Ming-Yu, to learn how Cosmos is making physical AI development more accessible with open models and tools for custom world models. | false | Cosmos | 1\|introduction to world foundation models | 1791278003 | Video | General Interest |
| {&quot;url&quot; =&gt; &quot;https://huggingface.co/blog/nvidia-physical-ai&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | New Open Models and Datasets | NVIDIA&#39;s GTC unveiled Cosmos Transfer for high-fidelity virtual scenes, a 15TB Physical AI Dataset, and Isaac GR00T N1 for humanoid robot reasoning, all open-source. | false | Cosmos | 1\|new open models and datasets | 1791278003 | Blog | General Interest |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/how-to-instantly-render-real-world-scenes-in-interactive-simulation/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Instantly Render Real-World Scenes in Interactive Simulation | NVIDIA Omniverse NuRec and 3DGUT quickly turn photos into photorealistic 3D scenes for robot and AV simulation, enabling rapid, realistic, scalable training. | false | Cosmos, Omniverse, Isaac Sim | 1\|instantly render real-world scenes in interactive simulation | 1791278003 | Blog | General Interest |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/scale-realistic-robot-simulation-using-the-nvidia-nemo-agent-toolkit-for-physical-ai/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Scale SDG With the NVIDIA NeMo Agent Toolkit | Agent toolkit integrates with NVIDIA&#39;s Omniverse, Cosmos, and NIM microservices to enhance realism and scalability in physical AI development. | false | Cosmos, NeMo Agent Toolkit, Omniverse, USD | 1\|scale sdg with the nvidia nemo agent toolkit | 1791278003 | Blog | General Interest |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/maximize-robotics-performance-by-post-training-nvidia-cosmos-reason\r\n&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Improve Robotics Performance with Post-Training on Cosmos | NVIDIA Cosmos Reason at SIGGRAPH enhances physical AI through reasoning and data curation for robotics and autonomous systems. | false | Cosmos, DGX | 1\|improve robotics performance with post-training on cosmos | 1791278003 | Blog | General Interest |
| {&quot;url&quot; =&gt; &quot;https://blogs.nvidia.com/blog/nemotron-cosmos-reasoning-enterprise-physical-ai/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Building Smarter Agents for Enterprise and Physical AI | Open reasoning models provide faster and extended thinking to generate smarter outcomes for AI agents across customer service, cybersecurity, manufacturing, logistics and robotics. | false | Cosmos, Metropolis | 1\|building smarter agents for enterprise and physical ai | 1791278003 | Blog | General Interest |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/r2d2-boost-robot-training-with-world-foundation-models-and-workflows-from-nvidia-research/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Boost Robot Training with WFMs and Workflows | NVIDIA&#39;s Cosmos world foundation models generate and curate synthetic data to boost physical AI training for robotics and autonomous vehicles. | false | Cosmos, Isaac | 1\|boost robot training with wfms and workflows | 1791278003 | Research | General Interest |
| {&quot;url&quot; =&gt; &quot;https://www.youtube.com/watch?v=tudMMCq04SA&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Bridging the Sim-to-Real Gap for Accelerated Robot Training | Advances in NVIDIA Cosmos enable developers to accelerate workflows for generating realistic training data at the scale required for rapid development of robot training. | false | Cosmos, Isaac Sim, Omniverse | 1\|bridging the sim-to-real gap for accelerated robot training | 1791278003 | Demo | General Interest |
| {&quot;url&quot; =&gt; &quot;https://blogs.nvidia.com/blog/physical-ai-research-siggraph-2025/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | NVIDIA Research Shapes Physical AI at SIGGRAPH 2025 | NVIDIA debuts neural rendering, 3D generation, and simulation advances driving robotics, autonomous vehicles, and content creation at SIGGRAPH 2025. | false | Cosmos, Isaac Sim, Omniverse, Metropolis | 1\|nvidia research shapes physical ai at siggraph 2025 | 1791278003 | Research | General Interest |
| {&quot;url&quot; =&gt; &quot;https://www.nvidia.com/en-us/on-demand/session/siggraph25-s05/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Beyond Rendering: Why Graphics is Needed For Physical AI | Machines need more than perception—they need understanding. NVIDIA Cosmos WFMs help developers predict, transfer knowledge, and reason for autonomous systems. | true | Cosmos | 0\|beyond rendering: why graphics is needed for physical ai | 1791278003 | Session | General Interest |
| {&quot;url&quot; =&gt; &quot;https://blogs.nvidia.com/blog/physical-ai-partners-metropolis-updates-siggraph/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | NVIDIA and Partners Bring Physical AI to Cities | Blueprints, vision language models and synthetic data generation extensions enhance productivity and improve safety across environments. | false | Cosmos, Metropolis | 1\|nvidia and partners bring physical ai to cities | 1791278003 | Blog | General Interest |
| {&quot;url&quot; =&gt; &quot;https://build.nvidia.com/nvidia/cosmos-reason1-7b&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Demo Cosmos Reason Model on NVIDIA Build | NVIDIA Cosmos Reason is a 7B-parameter vision language model that lets robots and AI agents reason and plan actions using knowledge, physics, and common sense. | true | Cosmos | 0\|demo cosmos reason model on nvidia build | 1791278003 | Model | General Interest |
| {&quot;url&quot; =&gt; &quot;https://www.nvidia.com/en-us/on-demand/session/siggraph25-s19/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Synthetic Data Generation for Robot Learning Pipelines | This hands-on lab teaches practical workflows to create diverse datasets, boosting realism, speed, and variety for robotics and vision projects | true | Cosmos, Isaac Sim | 0\|synthetic data generation for robot learning pipelines | 1791278003 | Training | Intermediate |
| {&quot;url&quot; =&gt; &quot;https://nvidia-cosmos.github.io/cosmos-cookbook/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Cosmos Cookbook | Read the Cosmos Cookbook for an open-source guide offering workflows and examples to deploy and post-train NVIDIA Cosmos world foundation models for real applications. | true | Cosmos, Isaac Sim | 0\|cosmos cookbook | 1791278003 | Guide | Intermediate |
| {&quot;url&quot; =&gt; &quot;https://www.nvidia.com/en-us/on-demand/session/gtcdc25-dct51187/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | An Introduction to NVIDIA Cosmos for Physical AI | In this introductory, hands-on course, explore NVIDIA Cosmos, a platform of generative WFMs, advanced tokenizers, guardrails, and an accelerated data processing and curation pipeline. | true | Cosmos | 0\|an introduction to nvidia cosmos for physical ai | 1791278003 | Session | Beginner |
| {&quot;url&quot; =&gt; &quot;https://www.youtube.com/watch?v=Coy2TyBcT4g&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Synthetic Data From Neural Simulation for Robot Training | This blueprint helps overcome the data challenge for training robot policy models like GR00T N - and enables generalist robots reason, plan, and execute tasks. | true | Cosmos, Isaac Sim | 0\|synthetic data from neural simulation for robot training | 1791278003 | Demo | General Interest |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/nvidia-rtx-innovations-are-powering-the-next-era-of-game-development/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | NVIDIA RTX Innovations Are Powering the Next Era of Game Development | NVIDIA RTX ray tracing and AI-powered neural rendering technologies are redefining how games are made, enabling a new standard for visuals and performance. | false | ACE, Blackwell, CloudXR, DLSS, Nsight Tools - Graphics, RTX Kit | 2\|nvidia rtx innovations are powering the next era of game development | 1773131400 | Blog | General Interest |
| {&quot;url&quot; =&gt; &quot;https://developer.nvidia.com/blog/stream-high-fidelity-spatial-computing-content-to-any-device-with-nvidia-cloudxr-6-0/&quot;, &quot;text&quot; =&gt; &quot;Learn more&quot;} | Stream High-Fidelity Spatial Computing Content to Any Device with NVIDIA CloudXR 6.0 | Spatial computing is moving from visualization to active collaboration, adding increasingly more GPU demands on XR hardware to render photorealistic… | false | CloudXR | 2\|stream high-fidelity spatial computing content to any device with nvidia cloudxr 6.0 | 1774955690 | Blog | Intermediate |

[Download the raw results data (JSON)](https://developer.nvidia.com/search-data/ll_xr.json)




