NVIDIA has released a comprehensive open source collection of physical AI agent tools and skills designed to simplify and accelerate development in robotics, autonomous vehicles, vision AI, and industrial digital twins. These tools, part of the NVIDIA Agent Toolkit, enable AI agents to automate complex workflows such as data generation, simulation, training, and deployment, reducing costs and development time. Industry leaders like TSMC, Foxconn, and Siemens are already using these technologies to enhance manufacturing, healthcare, and autonomous driving systems. This initiative aims to advance physical AI development by making it more accessible and efficient, with tools available on GitHub and integrated with cloud services for scalability.
NVIDIA has introduced the Isaac GR00T Reference Humanoid Robot, an open platform combining advanced hardware and software for humanoid robotics research. The robot integrates a Unitree H2 Plus humanoid body with Sharpa five-fingered hands and NVIDIA ...
NVIDIA announced a major expansion of its DRIVE Hyperion platform, enabling level 4-ready robotaxi fleets worldwide. Key partners include Foxconn in Taiwan, VinFast in Southeast Asia, Uber in Europe, and HUMAIN in the Middle East, all working to depl...
NVIDIA introduced Alpamayo 2 Super, its most powerful open AI model with 32 billion parameters, designed to enhance autonomous vehicle (AV) reasoning, planning, and action for level 4 robotaxis. This model improves full-surround perception and decisi...
Nvidia unveiled its new Arm-based N1X processor integrated into the RTX Spark superchip, debuting this fall on laptops from major brands like Microsoft, Dell, and HP. This marks Nvidia's entry into the PC CPU market, traditionally dominated by Intel ...
NVIDIA announced the DGX Station for Windows, the world’s most powerful deskside AI supercomputer designed to run AI models up to 1 trillion parameters locally on Windows. This system bridges the gap between Linux-based AI data centers and Windows en...
