The guide takes a closer look at the open-source library PyTorch which allows a Python developer to quickly get up-to-speed with the features of CUDA that make it so appealing to researchers and ...

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.

Abe Stern from NVIDIA gave this talk at the ECSS Symposium. "We will introduce Numba and RAPIDS for GPU programming in Python. Numba allows us to write just-in-time compiled CUDA code in Python, ...

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).

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

For developers keen on using programming language Python, there's a new tutorial that shows how to build a Python application in a Docker container using VS Code and Microsoft's VS Code Docker ...

Microsoft's two new video series target beginner developers interested in using Python for machine-learning programs.

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.

New programming language aims to combine full Python compatibility with low-level programming features, along with the ability to harness GPUs and other AI accelerators.