NVIDIA builds three computers to enable the world’s leading robot manufacturers to build AI-enabled robots – NVIDIA AI and DGX to train foundation models, Omniverse to simulate and enhance AIs in a physically-based virtual environment, and Jetson Thor, a robot supercomputer. NVIDIA introduces new NVIDIA NIM microservices for robot simulation generative AI, accelerating humanoid robot developers.
A new teleoperation-simulation workflow enables humanoid robot developers to generate massive amounts of synthetic motion and perception data from a small number of recorded human demonstrations using NVIDIA Omniverse and NIM microservices.
Read the full press release: https://nvidianews.nvidia.com/news/nvidia-accelerates-worldwide-humanoid-robotics-development
Join the Humanoid Robot Developer Program: https://developer.nvidia.com/humanoid-robot-program/
date: 2024-07-29 23:03:18
duration: 00:02:03
author: UCHuiy8bXnmK5nisYHUd1J5g
BCP AI editorial comment
But, you know what else is? Humanoid robot development! And, guess who’s making it easier for developers to create AI-enabled robots? NVIDIA!
The tech giant has built three powerful computers to help leading robot manufacturers build more advanced robots. The machines include the NVIDIA AI and DGX for training foundation models, Omniverse for simulating and enhancing AIs in a physically-based virtual environment, and Jetson Thor, a robot supercomputer.
What’s even more exciting is that NVIDIA has introduced new NIM microservices for robot simulation generative AI, which accelerates humanoid robot development. This means developers can generate massive amounts of synthetic motion and perception data from a small number of recorded human demonstrations using Omniverse and NIM microservices.
Want to learn more? Check out the full press release here: https://nvidianews.nvidia.com/news/nvidia-accelerates-worldwide-humanoid-robotics-development
Ready to join the Humanoid Robot Developer Program? Head over to this link: https://developer.nvidia.com/humanoid-robot-program
That’s all for now!
