A little-known software platform called CUDA could be the real reason Nvidia remains so difficult to challenge.

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

The word supercomputer gets thrown around quite a bit. The original Cray-1, for example, operated at about 150 MIPS and had about eight megabytes of memory. A modern Intel i7 CPU can hit almost ...

Nvidia recently warned developers against using its CUDA on non-Nvidia GPUs, a move where the company tries to fend off other competitors. It also highlights another challenge in China's efforts to ...

Use left and right arrow keys to seek audio. With the release of NVIDIA CUDA 13.1, the company is introducing the "largest and most comprehensive update to the CUDA platform since it was invented two ...

Nvidia has taken further actions targeting the Chinese market to maintain its dominance in the GPU market, attempting to block third-party GPU companies from seamlessly using CUDA software. This move ...