Today Nvidia announced that growing ranks of Python users can now take full advantage of GPU acceleration for HPC and Big Data analytics applications by using the CUDA parallel programming model.

Pyhton projects can perform fast algebraic calculations with low overhead using the new Nvidia library for Cuda-X.

Open source at last: Warp, Nvidia's Python framework for CUDA Following criticism from the community, Nvidia has decided to switch to the Apache 2 license with the Warp framework.

Compute Unified Device Architecture, or CUDA, is a software platform for doing big parallel calculation tasks on NVIDIA GPUs. It’s been a big part of the push to use GPUs for general purpose … ...

Nvidia has officially ported its Compute Unified Device Architecture (CUDA) to RISC-V, a move announced at a recent RISC-V summit in China. According to Nvidia's Frans Sijstermans, ...