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.

Every day there are reports of the latest advances in deep learning (DL) from researchers, data scientists, and developers around the world. Less well known is the momentum behind enterprise adoption ...

Nvidia, together with partners like IBM, HPE, Oracle, Databricks and others, is launching a new open-source platform for data science and machine learning today. Rapids, as the company is calling it, ...

Raspberry Pi has long been a proving ground for creative hacks that stretch low-cost hardware far beyond its original brief, and graphics performance is one of the most contested frontiers. The idea ...

In Nvidia’s decade and a half push to make GPU acceleration core to all kinds of high performance computing, a key component has been the CUDA parallel computing platform that made it easier for ...

Julia is a high-level programming language for mathematical computing that is as easy to use as Python, but as fast as C. The language has been created with performance in mind, and combines careful ...

The processor of current PCs is usually powerful enough to work smoothly with all types of content. However, some processes put a higher load on the processor — for example, when you watch videos.