Nvidia's recent warning to developers about running its CUDA software, a programming toolkit, on third-party graphic processing units (GPUs) has exposed another weak link in China's quest for chip ...

AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...

NVIDIA formally released the finished version of CUDA 2.0. The second generation of the company's general-purpose programming language for its video chipsets supports 64-bit versions of Mac OS X and ...

AMD launched the latest version of its ROCm AI software stack last week, putting it in a better position to compete with Nvidia for AI hardware customers. Although the performance of AI chips is a key ...