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. As a ...

In this video from the ECSS Symposium, Abe Stern from NVIDIA presents: CUDA-Python and RAPIDS for blazing fast scientific computing. We will introduce Numba and RAPIDS for GPU programming in Python.

An end-to-end data science ecosystem, open source RAPIDS gives you Python dataframes, graphs, and machine learning on Nvidia GPU hardware Building machine learning models is a repetitive process.

Nvidia has released a new mathematical Python library specialized for Cuda-X. It offers direct, Python-like access to the mathematical core operations of Cuda-X without having to use additional C/C++ ...

GPUs have far more cores than CPUs and can perform a large number of parallel processes. IT engineer Rijul Rajesh has summarized the knowledge necessary to take advantage of such GPU performance on ...