NVIDIA CUDA-X libraries and AI models are accelerating TSMC workloads across lithography, transistor and process simulation, ...

The technology that underpins the ongoing AI revolution in tech is also driving Nvidia’s push into new areas such as quantum computing, robotics, and autonomous vehicles, the CUDA architect says.

Advanced process control: TSMC is using the NVIDIA cuML machine learning library to accelerate large-scale analytics on NVIDIA GPUs. This lets TSMC speed algorithms and distill hundreds of thousands ...

TSMC is using NVIDIA AI and CUDA-X technologies to cut chip manufacturing costs, improve yields, and speed up production.

NVIDIA (NASDAQ:NVDA) revealed that Taiwan Semiconductor Manufacturing Co. (NYSE:TSM) is deploying a range of its artificial ...

Nvidia recently launched a new quantum computing model, called Ising.

Nvidia and the world’s largest foundry TSMC are collaborating to speed up semiconductor design and manufacturing. Under the ...

NVIDIA and TSMC use AI and accelerated computing to improve chip design, defect inspection and fab efficiency.

This live blog will be updated in real time as Nvidia GTC 2026 announcements begin. Nvidia GTC 2026 is kicking off at a time when the enterprise world has stopped wondering what AI can do. Now, it’s ...