[Music] The era of physical AI is here. Physical AI models that can understand and interact with the physical world will embody robots. Many will be humanoid robots. Developing these advanced robots is complex, requiring vast amounts of data and workload orchestration across diverse computing infrastructures. Nvidia is working to simplify and accelerate developer workflows with three computing platforms: Nvidia AI, Omniverse, and Jetson. Thor plus generative AI-enabled developer tools to accelerate project Groot, a general humanoid robot foundation model. Nvidia researchers capture human demonstrations, seeing the robot's hands in spatial overlay over the physical world. They then use Rokkasa, a generative simulation framework integrating into Nvidia Isaac Lab, to produce a massive number of environments and layouts. They increase their data size using Mimic-Gen, which helps them generate large-scale synthetic motion datasets based on the small number of original captures. They train the Groot model on Nvidia DGX Cloud with the combined real and synthetic datasets. Next, they perform software-in-the-loop testing in Isaac Sim in the cloud and hardware in

the loop validation on Jets and Thor before deploying the improved model to the real robots. Nvidia osmo robotics Cloud compute orchestration service manages job assignment and scaling across distributed resources throughout the workflow. Together, these Computing platforms are empowering developers worldwide to bring us into the age of physical AI-powered humanoid robots. [Music]

Advancing Humanoid Robot Development

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling industrial digitalization across markets. NVIDIA is now a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry.

Advancing Humanoid Robot Development

Advancing Humanoid Robot Development

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