TSMC is leveraging NVIDIA's AI and accelerated computing technologies to enhance semiconductor design and manufacturing. By using NVIDIA CUDA-X libraries and AI models, TSMC improves computational lithography, transistor simulation, process control, and fab operations, resulting in faster production, better energy efficiency, and higher yield. Additionally, TSMC employs NVIDIA Metropolis and TAO Toolkit for advanced defect inspection, improving detection of nanometer-scale defects and reducing retraining needs. TSMC is also exploring NVIDIA Omniverse to create a virtual fab environment for better planning and decision-making before physical implementation.
Nvidia has partnered with Chinese startup Unitree to offer a research-focused humanoid robot system combining Unitree's H2 robot with Nvidia's advanced Jetson Thor hardware featuring the Blackwell GPU. The system targets universities and research ins...
Foxconn, in partnership with NVIDIA, is rolling out advanced AI technologies across Taiwan's leading medical centers as part of the $1.5 billion 'Healthy Taiwan' initiative. This includes digital AI agents for clinical reasoning and documentation, as...
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 NVIDI...
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...
