NVIDIA’s GenAI Models for OpenUSD to Advance Robotics and Digital Twins
NVIDIA has unveiled significant advancements to Universal Scene Description (OpenUSD), aimed at expanding its adoption across various sectors, including robotics, industrial design, and engineering. These developments, announced at the ongoing SIGGRAPH event in Denver, are set to enhance the capabilities of developers in creating highly accurate virtual worlds, crucial for the next evolution of AI technologies. The new offerings include NVIDIA NIM Microservices, which allow AI models to generate OpenUSD language for various applications such as answering user queries, generating OpenUSD Python code, and understanding 3D space and physics. These services are designed to accelerate the development of digital twins and other virtual environments, providing a more efficient and scalable solution for industries. Digital World with Generative AI NVIDIA’s latest generative AI models, available as NIM microservices, are the first of their kind for OpenUSD development. These models facilitate the incorporation of AI copilots and agents into USD workflows, broadening the scope of 3D world-building in sectors like manufacturing, automotive, and robotics. The microservices include USD Code NIM, USD Search NIM, and USD Validate NIM, each designed to streamline the creation and validation of 3D content. NVIDIA has also announced upcoming NIM microservices, such as USD Layout NIM and USD SmartMaterial NIM, which will further enhance the capabilities of developers working with OpenUSD. These tools are expected to play a pivotal role in the development of next-generation AI applications, particularly in the realm of physical AI and robotics. OpenUSD Reach with New Connectors In addition to microservices, NVIDIA introduced a series of USD connectors aimed at bringing generative AI to more industries. Collaborating with Siemens, NVIDIA is integrating OpenUSD pipelines with Siemens’ Simcenter portfolio, enabling high-fidelity visualisation of complex simulation data. This partnership aims to facilitate better decision-making and collaboration among stakeholders. Moreover, NVIDIA released a connector from the Unified Robotics Description Format to OpenUSD, allowing seamless integration of robot data across various applications. To support the growing OpenUSD ecosystem, NVIDIA announced the OpenUSD Exchange SDK, which helps developers create robust data connectors. These advancements underscore NVIDIA’s commitment to revolutionising the creation and interaction with 3D content, paving the way for broader adoption and innovation across multiple industries.
Jensen Huang’s vision of ‘Physical AI’ is getting real through NIM and visual AI agents.
Jensen Huang’s vision of ‘Physical AI’ is getting real through NIM and visual AI agents.
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["AI", "ML", "generative AI", "Aim", "copilots", "microservices", "Python", "R", "Go", "Scala"]
As a rare blend of engineering, MBA, and journalism degree, Vandana Nair brings a unique combination of technical know-how, business acumen, and storytelling skills to the table. Her insatiable curiosity for all things startups, businesses, and AI technologies ensures that there's always a fresh and insightful perspective to her reporting. She now hosts her tech segment 'Point Break' on AIM Tv.