NVIDIA today announced major advancements to Universal Scene Description ( OpenUSD), which will expand the 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.
Using OpenUSD-based generative AI and NVIDIA-accelerated development frameworks on the NVIDIA Omniverse platform, more industries can develop applications for industrial design visualization, engineering projects, and simulating environments for physical AI and robots.
The new offerings include NVIDIA NIM microservices for AI models, which support OpenUSD language generation, Python code generation, material application to 3D objects, and an understanding of 3D space and physics to help accelerate digital twin development. New USD connectors and developer tools enable streaming of fully NVIDIA RTX ray-traced datasets to Apple Vision Pro.
“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.”
“OpenUSD is revolutionizing the way we create and interact with 3D content,” said Steve May, chief technology officer of Pixar and chairman of the Alliance for OpenUSD (AOUSD). “Now, with these new services and APIs for OpenUSD built by NVIDIA, we expect to see accelerated growth and adoption of USD, paving the way for new users and industries to more easily engage with our ecosystem.”
Also Read: MediaTek Integrates NVIDIA TAO to Boost Edge AI Applications in IoT
