What Is SimReady?

This section is for teams building or converting 3D content, including CAD teams, artists, and pipeline engineers. SimReady asset creation starts with capturing an object's geometry, appearance, materials, physics, and real-world physical behaviors, then structuring that representation so simulation tools can read the required physics properties, semantic labels, and material attributes. This can be done by creating 3D assets from scratch or using existing 3D assets.

Teams can create SimReady assets by leveraging NVIDIA’s open source Omniverse libraries and SimReady Foundation:

• Starting from non-USD assets: Convert OBJ, FBX, and glTF, CAD, URDF, MuJoCo, or Gaussian splat data to USD, then author the missing physics colliders, materials, and semantic labels needed to meet the SimReady specification. 
• Starting from existing USD assets: Validate assets using validation tools to identify gaps, then fill in any missing physics, material, or semantic attributes before using the assets in 3D simulation.
• Starting from validated assets: Use pre-built physical AI assets from ecosystem partners that are already validated for use in NVIDIA Isaac Sim or NVIDIA Omniverse.

This section is for ISVs and teams building simulations, training AI models, or running robotics workflows. Once an asset meets the SimReady standard, consuming it works the same way across supported runtimes.

• Load: Bring the asset into any runtime that supports OpenUSD content, such as NVIDIA Isaac Sim or NVIDIA Omniverse.
• Simulate: Physics, AI, and sensor simulation all run against the same asset definition once it's placed in the OpenUSD scene and plugged into physical solvers and sensor modalities.
• Deploy: The asset performs realistic, deployment-grade behavior, such as a robotic arm grasping an object, a conveyor system moving the packages, or cooling infrastructure operating under thermal load inside an AI factory digital twin. All of these use cases can be grounded in the same SimReady-validated asset, which conforms to multiple features that target these use cases.

This section is for OEMs and ISVs building SimReady into their own products and pipelines. Integrating means keeping your tools and content compatible with the broader SimReady ecosystem, instead of maintaining a separate, closed pipeline. 

There are two ways to get involved:

• Enable discoverability of your own content: OEMs can host SimReady content on Hugging Face, ensuring assets are discoverable by customers.
• Expand the specification to represent your hardware: OEMs can contribute new requirements to SimReady Foundation specification.

A pipeline vendor’s software that authors, visualizes, or validates the asset is empowered with efficiency and determinism of plausible outcomes in sim by integrating SimReady reference runtime tests in authoring.

SimReady assets include features and requirements to support runtime goals:

• Requirements: Individual USD-based rules for the asset, such as correct scale, materials, or physics.
• Features: Unique simulation effects on the asset enforced by the requirements, such as “graspable” or “physically simulated.”
• Profiles: Bundles of features for a particular asset type.
• USD Example Files: End results of an asset's geometry, appearance, structure, physics, and behavior, per features and profiles.
• Validation: Checks that the USD asset meets the selected profile’s requirements.
• Benchmark tests and testing framework: Proves that the example fulfills the use case in a reference runtime.

Caption: Universal Robotics UR10 asset made up of SimReady properties, including profile, feature, capability, and requirement.

Organizations building digital twins face a structural problem: When assets are created in isolation using custom formats, they risk incompatibility across tools, runtimes, and organizations. This can cause a bottleneck of repeated work, slowing down physical AI pipelines. Simulation content needs shared conventions across toolchains, runtime environments, and domain experts so assets can be reused without one-off translation work.

SimReady advances through open specification work and active industry participation. NVIDIA works with partners to validate SimReady requirements against real-world domains, while contributing learnings to Alliance for OpenUSD (AOUSD) efforts that strengthen OpenUSD for industrial and physical AI workflows.

That advancement happens in three ways:

• Feature Expansion: Extend SimReady assets with richer capabilities, including advanced physics behaviors and articulated parts, to support more complex and realistic simulations.
• Pipeline Scaling: Automate asset conversion and validation at scale, helping teams prepare large source-asset libraries for digital environments and training datasets.
• Standardization Review: Define how SimReady features map into OpenUSD so supported tools and platforms can adopt them more consistently across the ecosystem.