Simulation · Simulation & Digital Twins

NVIDIA Isaac Sim

Active

CATEGORYSimulation · Simulation & Digital Twins

ADOPTION SCALEEstablished Open Source

LICENSESApache-2.0

NVIDIA Isaac Sim is an open source reference framework built on NVIDIA Omniverse libraries and OpenUSD for robotics simulation, testing, and synthetic data generation in physically based virtual environments. It can ingest 3D models from CAD, URDF, MJCF, OnShape, and ShapeNet.

Isaac Sim supports ROS 2 via the Isaac Sim ROS 2 Bridge, runs on local workstations, as an NGC container, and in the cloud (AWS, Azure, GCP, Brev). It integrates with NVIDIA Isaac Lab for robot policy training and NVIDIA Cosmos world foundation models.

Website Repository

Type & Roles

Software types

Simulation

Simulation software is used for modelling, testing, and validating robot behaviours, sensor characteristics, environments, and algorithms without requiring physical hardware. It enables safe, repeatable, and cost-effective development cycles. Common robotics simulators include Gazebo, Isaac Sim (NVIDIA), MuJoCo, PyBullet, and Webots, each offering different trade-offs between physics accuracy, rendering fidelity, and integration with middleware frameworks such as ROS 2.

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Main category

Simulation & Digital Twins

Maturity & Adoption

Adoption scaleEstablished Open Source

Maintenance statusMaintained by Single Vendor

Last update14 May 2026

Organizations

ROS supportCompatibility with ROS / ROS 2 ecosystem

ROS 2 Bridge / AdapterMost lub adapter łączący oprogramowanie z ekosystemem ROS 2 bez natywnej integracji

System capabilities

⊙

Open source

Source code is publicly available under an open-source license — enables security audits, custom modifications, and integration without licensing barriers.

⚡

Real-time capable

Designed with timing-determinism guarantees — meets the requirements of control loops, safety systems, and tasks demanding low, predictable latency.

⟨/⟩

API available

The software exposes a programmable interface (REST, gRPC, SDK, or language bindings) that enables automation and integration with other systems.

📦

Pre-built / binary

Distributed as ready-to-use binary packages, container images, or installers — no need to build from source.

Programming languages

PythonC++

Operating systems

Ubuntu 22.04Windows

Minimum hardware requirements

CPUIntel Core i7 7th generation or AMD Ryzen 5 (minimum); recommended Intel Core i7 9th generation or Ryzen 7

RAM (GB)32

GPUNVIDIA GeForce RTX 4080 (16 GB VRAM); Tensor + RT Cores required

Disk (GB)50

GPUs without RT Cores (A100, H100) are not supported. Internet connection required to fetch online assets.

Packaging & distribution

CPU architectures

x86_64 (AMD64)aarch64 / ARM64

Protocols and interfaces

Deployment types

Local WorkstationContainerizedCloud

Licenses

Apache-2.0Apache License 2.0v2.0

License family: Permissive

ModificationDistributionCommercial useSublicensingPrivate useROS-compatibleOSI approvedFSF Free/LibreRequires attributionPatent grant

Official text ↗SPDX ↗OSI ↗

No version history.