What Are SimReady Assets?

SimReady—or simulation-ready—assets are physically accurate 3D objects that feature accurate physical properties, behaviors, and connected data streams to represent the real world in simulated digital worlds. This makes them ideal for the development of physical AI. SimReady assets can be built on NVIDIA Omniverse™, which uses Universal Scene Description (USD), an open and extensible ecosystem for creating and simulating 3D worlds.


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The Benefits of SimReady Assets

SimReady assets can accelerate AI training

Real-World Accuracy

SimReady assets are photoreal and physically accurate to reflect real-world behavior in simulated environments, such as digital twins.

SimReady assets can provide real-world accuracy

Flexibility

SimReady assets take advantage of the modular and flexible nature of USD, letting you integrate 3D assets into any workflow or virtual world.

SimReady assets provide flexible integration

Consistency

3D developers working on digital twins will have consistency across their asset libraries to quickly build virtual worlds.

SimReady assets offer consistency across asset libraries

Accelerated AI Training

Machine learning and AI researchers can use SimReady assets as a reliable starting point to rapidly train AI models.


How 3D Simulation Assets Are Used in Physical AI

SimReady assets are used in robotics simulation application

Robotics

Simulations of factories require thousands of assets to build a photorealistic and physically accurate environment. SimReady assets will accelerate the development, testing, and management of AI-based robots operating in factories.


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SimReady assets are used in digital twin warehouses design

Digital Twin Warehouses

3D assets like forklifts, railings, racks, and robots can be used for simulations to optimize warehouse design and flow, train intelligent robot assistants, and improve productivity.


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SimReady assets are used in autonomous driving application

Autonomous Driving

Immediately identify SimReady objects in a scene with semantic labels and physical materials to accelerate the sensor development for autonomous vehicles.


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Physical AI Sample Assets

Free and open-source USD samples are available for download through NVIDIA Omniverse and partner sites. Explore physical AI and USD example datasets and the NVIDIA Learning Library for more OpenUSD resources.


SimReady Standardization Workflow

Explore the library of supplier-certified 3D USD assets and specifications designed for accurate, plug-and-play simulation of data center infrastructure.


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NVIDIA Physical AI Dataset

Pretrain, test, and validate AI models for physical AI deployment.


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SimReady Warehouse Asset Pack

Develop warehouses with USD assets, including step stands, storage racks, shelving, and ramps.


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Learn More About SimReady Assets

How to build SimReady assets on Omniverse

Designing AI Factories Using OpenUSD and SimReady Assets

Learn how SimReady assets will be used to build AI factories and the requirements for creating assets for simulation.


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SimReady assets help AI developers develop industrial robots, autonomous vehicles, and more.

Test Robots with SimReady Assets

Learn about how to use SimReady assets in Isaac Sim for real-world robot simulation.


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SimReady assets are used in autonomous driving application

SimReady Assets Physics Overview

Watch this introduction to SimReady PhysX assets and learn how to use them in Omniverse.


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