Nvidia just updated its CUDA platform and made it a lot more attractive for developers. Is this a game-changer for NVDA stock ...

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 earlier this month unveiled CUDA Tile, a programming model designed to make it easier to write and manage programs for ...

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++ ...

Nvidia has placed Warp under an Apache 2 license. The Python framework is used for performance-hungry physical simulations, data generation and spatial computing. It compiles Python functions just in ...

Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...

CUDA, the software layer that gives Nvidia’s hardware its real-world punch, just got a lot easier to program, more efficient, and even tougher for its rivals to replace.

Nvidia stock at $182 after CUDA 13.1 launch brings 4x speed gains and simpler programming, strengthening market position in AI chip race.