SAN JOSE, CA--(Marketwire - Mar 18, 2013) - GTC 2013-- The growing ranks of programmers using the Python open-source language can now take full advantage of GPU acceleration for their high performance ...

Key changes make GPUs easier to program, more efficient, and harder for rivals to replace. New features enhance AI development, further locking developers into Nvidia's ecosystem. Nvidia ( NVDA) had ...

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.

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

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++ ...

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 (NVDA) has launched CUDA 13.1 and CUDA Tile, which the Jensen Huang-led company said is the most substantial advancement to the platform since its release about 20 years ago. "This exciting ...

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...

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 ...