NVIDIA announced major advancements to Universal Scene Description, or OpenUSD, that will expand adoption of the universal 3D data interchange framework to robotics, industrial design and engineering, and accelerate developers’ abilities to build highly accurate virtual worlds for the next evolution of AI.
Through new OpenUSD-based generative AI and NVIDIA-accelerated development frameworks built on the NVIDIA Omniverse™ platform, more industries can now develop applications for visualizing industrial design and engineering projects, and for simulating environments to build the next wave of physical AI and robots.
The new offerings include NVIDIA NIM™ microservices for AI models that can generate OpenUSD language to answer user queries, generate OpenUSD Python code, apply materials to 3D objects, and understand 3D space and physics to help accelerate digital twin development. In addition, new USD connectors to robotics and industrial simulation data formats and developer tools let users stream massive, fully NVIDIA RTX™ ray-traced datasets to Apple Vision Pro.
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“The generative AI boom for heavy industries is here,” said Rev Lebaredian, vice president of Omniverse and simulation technology at NVIDIA. “Until recently, digital worlds have been primarily used by creative industries; now, with the enhancements and accessibility NVIDIA NIM microservices are bringing to OpenUSD, industries of all kinds can build physically based virtual worlds and digital twins to drive innovation while preparing for the next wave of AI: robotics.”
Generative AI Comes to USD With NVIDIA NIM
The world’s first generative AI models for OpenUSD development, developed by NVIDIA, will be available as NVIDIA NIM microservices. The models enable developers to incorporate generative AI copilots and agents into USD workflows, broadening the possibilities in 3D worlds and helping speed the adoption of USD across a new range of industrial sectors, like manufacturing, automotive and robotics.
The microservices available in preview are:
- USD Code NIM microservice — answers general knowledge OpenUSD questions and automatically generates OpenUSD-Python code based on text prompts that can then be inputted into an OpenUSD viewing app, such as usdview from Pixar, or an NVIDIA Omniverse Kit-based application to visualize the corresponding 3D data.
- USD Search NIM microservice — enables developers to search through massive libraries of OpenUSD, 3D and image data using natural language or image inputs.
- USD Validate NIM microservice — checks the compatibility of uploaded files against OpenUSD release versions and generates a fully RTX-rendered, path-traced image, powered by NVIDIA Omniverse Cloud APIs, or application programming interfaces.
Newly announced microservices that will be available soon are:
- USD Layout NIM microservice — enables users to assemble OpenUSD-based scenes from a series of text prompts based on spatial intelligence.
- USD SmartMaterial NIM microservice — predicts and applies a realistic material to a computer-aided design object.
- fVDB Mesh Generation NIM microservice — generates an OpenUSD-based mesh, rendered by Omniverse Cloud APIs, from point-cloud data.
- fVDB Physics Super-Res NIM microservice — performs AI super resolution on a frame or sequence of frames to generate an OpenUSD-based, high-resolution physics simulation.
- fVDB NeRF-XL NIM microservice — generates large-scale neural radiance fields in OpenUSD using Omniverse Cloud APIs.
Foxconn, a global manufacturing leader with more than 170 factories worldwide, is already benefiting from NVIDIA’s computing platform, using NIM microservices and Omniverse to create a digital twin of a factory under development.
“Digital twins will help us accelerate the next wave of industrial manufacturing and autonomous machines,” said Zhe Shi, chief digital officer and head of the Smart Manufacturing platform at Foxconn. “NVIDIA Omniverse and the new NIM microservices will democratize the ability to develop digital twins and help our teams build physically based virtual factories faster than ever.”
WPP, a world leader in marketing and communications services company, is an early adopter of USD Search and USD Code NIM microservices, implementing them in its generative AI-enabled content creation pipeline, built on NVIDIA Omniverse, for customers such as The Coca-Cola Company.
“The beauty of the innovation is how compatible it is with the way we work, and that it leverages open standards — accelerating not only future work, but allowing us to continue to build on and extend the usefulness of all our previous investments in standards like OpenUSD,” said Stephan Pretorius, chief technology officer at WPP. “Using NVIDIA NIM microservices with NVIDIA Omniverse has made it possible for us to launch innovative new production tools with companies like The Coca-Cola Company at unprecedented speed.”
USD Connectors Bring Generative AI to More Industries
A series of new USD connectors for robotics data formats and streaming to Apple Vision Pro opens the portals of OpenUSD interoperability and advanced authoring to more industries.
NVIDIA and Siemens, a global leader in industrial automation and software, are extending their collaboration to facilitate more industrial workloads using OpenUSD. Siemens will integrate OpenUSD pipelines with its Simcenter portfolio of simulation technologies to support evidence-based decision-making and collaboration among key stakeholders.
This integration enables high-fidelity, real-time, photorealistic visualization of complex simulation data, providing deeper insights into a product’s performance within its real-world operating environment. The work will build on Siemens’ efforts to incorporate Omniverse into its Teamcenter Product Lifecycle Management portfolio.
SOURCE: GlobeNewswire
