NVIDIA Omniverse
Platform of OpenUSD-based libraries and microservices for building simulation-ready digital twins and synthetic-data environments used to train and validate physical AI and robots.
Find alternatives to NVIDIA Omniverse
No published price list; documentation, GitHub repositories, sample content and selected NGC resources are free for development, research and testing, with enterprise support quoted separately.
What it does
- 3D generation
- Industrial automation
- Robot control
- Autonomous driving
Sources
- Pricing
-
Official documentation · 2 Sep 2026
No price list on the page; free developer resources plus quoted enterprise support.
- Description
- Sold within
-
Official documentation · 6 Sep 2026
Same page, in NVIDIA's own words about its trial: 'NOTE: This trial license includes NVIDIA Omniverse™ but does not include NVIDIA Run:ai.' Omniverse comes with the AI Enterprise licence.
Also from NVIDIA
-
NVIDIA AI Enterprise Platform
Supported software suite for building and deploying AI workloads on NVIDIA hardware.
-
NVIDIA Blackwell Hardware
Data-centre GPU architecture used for training and serving large models, sold in servers and rack systems.
-
CUDA Toolkit Platform
Programming toolkit and libraries for running general-purpose computation on NVIDIA GPUs.
-
NVIDIA DGX Cloud Infrastructure service
NVIDIA's AI cloud of GPU clusters and managed AI services, which NVIDIA's own page now presents as its internal environment for building its models, and which is still sold on Microsoft's Azure marketplace.
-
NVIDIA DRIVE Platform
End-to-end autonomous-vehicle platform spanning training infrastructure, simulation and safety-certified in-vehicle compute for production autonomy from L2++ to L4.
-
NVIDIA Isaac Platform
Open robotics development platform combining simulation, CUDA-accelerated perception libraries, ROS 2 integration and humanoid tooling for building AI-powered robots.
-
NVIDIA NeMo Platform
Suite of libraries and microservices covering the AI agent lifecycle - data curation, customisation, evaluation, guardrails and monitoring.
-
NVIDIA NIM Model API
Prebuilt inference microservices that package foundation models with optimised serving engines and standard APIs, deployable as hosted endpoints or self-hosted containers.
-
NVIDIA Vera Rubin Hardware
NVIDIA's data-centre platform succeeding Blackwell, pairing Rubin GPUs with Vera CPUs at rack scale for agentic AI and reasoning workloads.
-
NVIDIA ACE Platform
Suite of AI technologies (speech, intelligence, animation models and plugins) for building conversational, actionable in-game characters, mostly MIT-licensed with some components under NVIDIA's open model license.
-
NVIDIA AI Workbench Platform
Free development-environment manager for creating, customizing and collaborating on AI applications across GPU systems, with enterprise support available through an NVIDIA AI Enterprise license.
-
NVIDIA BioNeMo Platform
Development platform for AI-driven biology and drug discovery: open models, libraries, datasets and NIM microservices for the full AI lifecycle in biopharma.
-
NVIDIA BlueField Platform Hardware
Data-processing-unit (DPU) platform combining compute with accelerated networking, storage and security for AI-factory infrastructure.
-
NVIDIA Broadcast Hardware
Free application that enhances livestreams and video calls with AI noise removal, background replacement and other audio/video effects; requires a GeForce RTX GPU.
-
NVIDIA DGX Spark Hardware
Desktop AI supercomputer powered by the GB10 Grace Blackwell Superchip for local autonomous agents, running models up to 200B parameters for inference.
-
NVIDIA DGX Station Hardware
Deskside AI supercomputer powered by the GB300 Grace Blackwell Ultra Superchip, up to 20 petaFLOPS and 748GB coherent memory, supporting models up to 1T parameters.
-
Open-source model-deployment server for TensorRT, PyTorch, ONNX, OpenVINO and other frameworks across GPUs and CPUs, with production support and stable APIs through NVIDIA AI Enterprise.
-
NVIDIA HGX Platform Hardware
Reference baseboard specification (HGX B200, B300, Vera Rubin NVL8) that system integrators and OEMs build into complete AI servers, listed in NVIDIA's Qualified System Catalog.
-
NVIDIA IGX Platform Hardware
Edge-AI developer kits (IGX Thor, IGX Thor Mini, IGX Orin) for industrial and medical edge computing.
-
NVIDIA Jetson Hardware
Family of embedded AI modules and developer kits for robotics and edge AI (Thor, AGX Orin, Orin NX/Nano, Xavier, TX2/Nano series).
-
NVIDIA OVX Systems Hardware
Scalable data-centre server systems (e.g. OVX L40S with four or eight GPUs) for AI and graphics workloads, built by NVIDIA OVX partners.
-
NVIDIA Quantum-X InfiniBand Hardware
Quantum-X800 InfiniBand switching for large-scale AI clusters, part of NVIDIA's InfiniBand networking line.
-
NVIDIA RAPIDS Platform
Suite of open-source, GPU-accelerated data-science libraries (cuDF, cuML, cuGraph, cuxfilter), rebranding to "CUDA-X for Data Science."
-
NVIDIA Riva Platform
Deployable speech-AI library (ASR/TTS) for production inference, free to prototype via build.nvidia.com and licensed for production deployment through NVIDIA AI Enterprise.
-
NVIDIA RTX PRO Hardware
Professional GPU line (RTX PRO 2000 through RTX PRO 6000) for AI, graphics and simulation workloads across Blackwell, Ada Lovelace, Ampere and Turing architectures.
-
NVIDIA Spectrum-X Hardware
Ethernet networking platform (switches, ConnectX SuperNICs, BlueField DPUs, LinkX cables) purpose-built for generative-AI-scale data centres.
-
NVIDIA TensorRT Platform
Ecosystem of compilers, runtimes and optimization tools for high-performance deep-learning inference; TensorRT-LLM and Model Optimizer are free on GitHub, with commercial deployment options via NVIDIA AI Enterprise.
-
NVIDIA Virtual GPU (vGPU) Hardware
Software that virtualizes GPUs across VMs in enterprise data centres and cloud deployments, licensed through NVIDIA's vGPU License and Support Portal.
Something wrong here? Send a correction — quote this product id: nvidia-omniverse.