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NVIDIA Omniverse

Platform for building and connecting 3D simulation workflows using OpenUSD for industrial digital twins.

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Use Cases2
Companies2
Industries2

AI Use Cases with NVIDIA Omniverse

1AR
How Agility Robotics Uses NVIDIA Isaac to Train Humanoid Robots
Agility Robotics · Software Engineering
Weeks to daysIteration cycle time
2M
How MITRE Uses NVIDIA DGX to Power a Federal AI Sandbox
MITRE · Research & Development
300xPerformance increase
Vendor
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AI Maturity

Average implementation stage across documented use cases.

0Pilot2Scaling0Mature
Industries

Industries most frequently targeted in use cases with this tool.

Robotics
1
Government
1

Often Used With

1NI
NVIDIA Isaac Lab
Reinforcement learning framework for training robot controllers at scale using parallel GPU-accelerated simulation.
2M
MuJoCo
Physics engine for robotics simulation and model-based control research with high-fidelity contact dynamics.
3NI
NVIDIA Isaac Sim
Physics-based robotics simulation platform for training and testing AI models in photorealistic virtual environments.
4NE
NVIDIA Earth-2
NVIDIA Earth-2 is an open platform for high-resolution weather and climate simulation, enabling AI-powered forecasting at global and regional scales using physics-informed models.
5NP
NVIDIA PhysicsNeMo
NVIDIA PhysicsNeMo is a framework for training physics-informed neural networks, enabling simulation and modeling of complex physical systems for scientific and engineering applications.
6ND
NVIDIA DGX SuperPOD
NVIDIA DGX SuperPOD is a scalable AI supercomputer platform that clusters DGX systems into a unified, high-throughput infrastructure for training large-scale AI models and running multi-modal workloads.
Key Business Functions

Business areas most frequently targeted in use cases with this tool.

Software Engineering
1
Research & Development
1
Companies

Companies documented using this tool in real use cases.

NVIDIA Omniverse AI Use Cases & Reviews | Applied