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 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 ...

During the Nvidia GTC 2010 Keynote, CEO Jen-Hsun Huang announced that MATLAB and Amber (PMEMD) are capable of receiving CUDA acceleration using the power of Fermi-based GPUs. “MATLAB is used by ...

Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back 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 ...

NVIDIA has this week announced the general availability of version 12 of its CUDA Toolkit. The latest version is the first major release in quite a few years and focuses on new programming models and ...

Nvidia earlier this month unveiled CUDA Tile, a programming model designed to make it easier to write and manage programs for GPUs across large datasets, part of what the chip giant claimed was its ...

This is a sponsored article brought to you by PNY Technologies. In today’s data-driven world, data scientists face mounting ...

TL;DR: NVIDIA CUDA 13.1 introduces the largest update in two decades, featuring CUDA Tile programming to simplify AI development on Blackwell GPUs. By abstracting tensor core operations and automating ...

Apple’s MLX machine learning framework, originally designed for Apple Silicon, is getting a CUDA backend, which is a pretty big deal. Here’s why. The work is being led by developer @zcbenz on GitHub ...

Windows Subsystem for Linux (WSL) has gradually become one of Microsoft’s key bridges for developers, data scientists, and power users who need Linux compatibility without leaving the Windows ...