# Omniverse

NVIDIA Omniverse is a developer platform of libraries, tools, and services for building physical AI and simulation workflows.

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## How to Use AI Agents to Prepare 3D Scenes for Simulation

DevFeed: [How to Use AI Agents to Prepare 3D Scenes for Simulation](<https://devfeed.tech/articles/how-to-use-ai-agents-to-prepare-3d-scenes-for-simulation-31484.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/how-to-use-ai-agents-to-prepare-3d-scenes-for-simulation/>)

Author: Tanya Lenz

Published: 2026-09-16T23:20:33Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Simulation](<https://devfeed.tech/topics/simulation.md>), [Physical AI](<https://devfeed.tech/topics/physical-ai.md>), [Simulation and Design](<https://devfeed.tech/topics/simulation-and-design.md>), [blender](<https://devfeed.tech/topics/blender.md>), [Isaac Sim](<https://devfeed.tech/topics/isaac-sim.md>), [Omniverse](<https://devfeed.tech/topics/omniverse.md>), [Robotics Simulation](<https://devfeed.tech/topics/robotics-simulation.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>)

Tags: [3d](<https://devfeed.tech/tags/3d.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [blender](<https://devfeed.tech/tags/blender.md>), [gpt-6-astra](<https://devfeed.tech/tags/gpt-6-astra.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [isaac-sim](<https://devfeed.tech/tags/isaac-sim.md>), [nemoclaw](<https://devfeed.tech/tags/nemoclaw.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [omniverse](<https://devfeed.tech/tags/omniverse.md>), [openai](<https://devfeed.tech/tags/openai.md>), [openusd](<https://devfeed.tech/tags/openusd.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [robotics-simulation](<https://devfeed.tech/tags/robotics-simulation.md>), [simulation](<https://devfeed.tech/tags/simulation.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>)

### AI overview

This tutorial describes an agentic workflow for preparing Blender 3D scenes for robotics simulation. It covers scene inspection, OpenUSD metadata, physics properties, rendering preflight views, and validation for simulation-ready handoff to NVIDIA Isaac Sim or Isaac Lab.

### Source excerpt

Agentic AI workflows can be used to prepare and validate digital twins for physical AI systems. Agents can inspect 3D scenes, author simulation-relevant data in...

## Optimizing a Neural Reconstruction Pipeline Using NVIDIA Nsight Developer Tools

DevFeed: [Optimizing a Neural Reconstruction Pipeline Using NVIDIA Nsight Developer Tools](<https://devfeed.tech/articles/optimizing-a-neural-reconstruction-pipeline-using-nvidia-nsight-developer-tools-6918.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/optimizing-a-neural-reconstruction-pipeline-using-nvidia-nsight-developer-tools/>)

Author: Tanya Lenz

Published: 2026-06-30T16:00:00Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Omniverse](<https://devfeed.tech/topics/omniverse.md>), [Optimization](<https://devfeed.tech/topics/optimization.md>), [Tooling](<https://devfeed.tech/topics/tooling.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [CUDA](<https://devfeed.tech/topics/cuda.md>), [PyTorch](<https://devfeed.tech/topics/pytorch.md>), [Physical AI](<https://devfeed.tech/topics/physical-ai.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>), [Synthetic Data Generation](<https://devfeed.tech/topics/synthetic-data-generation.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Reinforcement learning](<https://devfeed.tech/topics/reinforcement-learning.md>)

Tags: [3d](<https://devfeed.tech/tags/3d.md>), [ai](<https://devfeed.tech/tags/ai.md>), [autonomous](<https://devfeed.tech/tags/autonomous.md>), [autonomous-vehicles](<https://devfeed.tech/tags/autonomous-vehicles.md>), [cuda](<https://devfeed.tech/tags/cuda.md>), [developer-tools](<https://devfeed.tech/tags/developer-tools.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [driving](<https://devfeed.tech/tags/driving.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [featured](<https://devfeed.tech/tags/featured.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [lidar](<https://devfeed.tech/tags/lidar.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [omniverse](<https://devfeed.tech/tags/omniverse.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [performance](<https://devfeed.tech/tags/performance.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>), [synthetic-data-generation](<https://devfeed.tech/tags/synthetic-data-generation.md>)

### AI overview

This article explains how NVIDIA Nsight Developer Tools can optimize the NVIDIA Omniverse NuRec neural reconstruction pipeline. It focuses on reducing GPU-intensive reconstruction and rendering costs to improve engineering iteration and move toward real-time performance.

### Source excerpt

NVIDIA Omniverse NuRec is a neural reconstruction pipeline for building high-fidelity 3D representations of real-world environments from multisensor data such...

## NVIDIA's GTC 2025 Announcement for Physical AI Developers: New Open Models and Datasets

DevFeed: [NVIDIA's GTC 2025 Announcement for Physical AI Developers: New Open Models and Datasets](<https://devfeed.tech/articles/nvidia-s-gtc-2025-announcement-for-physical-ai-developers-new-open-models-and-datasets-7370.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/nvidia-physical-ai>)

Author: Ming-Yu Liu; Hanzi Mao; Jinwei Gu; Pranjali Joshi; Asawaree

Published: 2025-03-18T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [Physical AI](<https://devfeed.tech/topics/physical-ai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>), [Synthetic Data Generation](<https://devfeed.tech/topics/synthetic-data-generation.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [autonomous vehicles](<https://devfeed.tech/topics/autonomous-vehicles.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [Isaac](<https://devfeed.tech/topics/isaac.md>), [Omniverse](<https://devfeed.tech/topics/omniverse.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [autonomous-vehicles](<https://devfeed.tech/tags/autonomous-vehicles.md>), [community](<https://devfeed.tech/tags/community.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [isaac](<https://devfeed.tech/tags/isaac.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [omniverse](<https://devfeed.tech/tags/omniverse.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [research](<https://devfeed.tech/tags/research.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [synthetic-data-generation](<https://devfeed.tech/tags/synthetic-data-generation.md>)

### AI overview

NVIDIA announces Cosmos Transfer, an open world foundation model that generates controllable, photorealistic video scenes from structured inputs such as depth maps, trajectories, LiDAR scans, and 3D bounding boxes. Together with NVIDIA Omniverse, it supports synthetic data generation for robotics and autonomous vehicle development. NVIDIA also introduces an open Physical AI Dataset on Hugging Face and the Isaac GR00T N1 foundation model for humanoid robot reasoning.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.