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NVIDIA Isaac

by NVIDIA@nvidiaSanta Clara, California, USANo ratings yet

Open robotics platform for simulating, training and deploying AI robots

Visit developer.nvidia.com
Tool type
Robotics AI software platform
Made for
Robotics developers
Runs on
Simulation and robot development environments
CUDA-accelerated libraries and Omniverse-based simulation; requirements vary by component.
Last checked
28 Oct 2026
1 product sources

What it does

NVIDIA Isaac is a collection of robotics development tools rather than a single app. It takes in robot software, 3D scenes and training data, and provides simulation and robot learning frameworks, CUDA-accelerated libraries, AI models and reference workflows. Teams use these to build autonomous mobile robots, robot arms, manipulators and humanoids.

The platform is split into parts. Isaac ROS is an open-source foundation for building robots with ROS 2. Isaac Manipulator, built on Isaac ROS, targets AI-powered robot arms that perceive and interact with their environment. Isaac GR00T supports humanoid work with robot foundation models and data pipelines. Isaac Sim, built on NVIDIA Omniverse, simulates robots in a physically based virtual environment and, together with Cosmos, can generate synthetic data from 3D scenes. Isaac Lab, built on Isaac Sim, is aimed at robot learning and foundation model training. A Mega Omniverse Blueprint offers a reference architecture for testing digital twins and robot fleets.

It suits robotics engineers and researchers who want to develop, train, simulate and deploy robot systems on NVIDIA technology, especially those already using ROS 2. Each component has its own page with requirements, downloads and licence terms, so review the one you plan to use. Request a quote or check the component page for licensing details. It is a developer toolkit that needs robotics expertise, not a ready-made robot product.

What it can do

  • Simulate and test robots in a physically based virtual environment with Isaac Sim
  • Train robot learning policies and foundation models with Isaac Lab
  • Build ROS 2 robots using accelerated open-source Isaac ROS libraries
  • Develop AI-powered robot arms with Isaac Manipulator
  • Develop humanoid robots using GR00T foundation models and data pipelines
  • Generate synthetic training data from 3D scenes with Cosmos and Isaac Sim

Works with

  • ROS 2
  • NVIDIA Omniverse
  • NVIDIA Cosmos

Example workflows

Train and test a robot policy in simulation
Inputs: a robot model and 3D scene. Steps: build the environment in Isaac Sim, train a policy with Isaac Lab, then evaluate it in simulation. Output: a trained policy and simulation results.
Build a ROS 2 robot arm application
Inputs: a robot arm and ROS 2 project. Steps: start from Isaac ROS, add Isaac Manipulator capabilities for perception and interaction, and test. Output: a ROS 2 application for an AI-powered arm.

Before you choose

  • Isaac is a family of separate components, so requirements and licences may differ for each.
  • Simulation and training workloads rely on NVIDIA CUDA-accelerated technology, so check hardware needs for each component.
  • Aimed at developers with robotics experience, not a no-code product.

Listed under

Get started

Choose a component such as Isaac ROS, Isaac Sim or Isaac Lab and follow its Learn More link.

  1. Pick the Isaac component that matches your robot type (ROS, arm, humanoid or simulation).
  2. Open its Learn More page from the Isaac overview for requirements and downloads.
  3. Set up an NVIDIA-compatible development environment, and ROS 2 if you are using Isaac ROS.
Explore the Isaac page

Plans and prices

Isaac is a software platform with multiple components. Review each component’s license, GPU requirements and any cloud or support costs before deployment.

We couldn’t find published prices for NVIDIA Isaac. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 28 Oct 2026. Each source supports part of the overview; availability and prices can change.

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Last checked 28 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.