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 is of course NVIDIA's toolkit and programming model which provides a development environment for speeding up computing applications by harnessing the power of GPUs. It's not easy to conquer, but ...

NVIDIA has announced a new Rust environment for writing native GPU kernels. CUDA Rust will join CUDA C++ and CUDA Python in NVIDIA's range of CUDA languages. CUDA was introduced by NVIDIA in 2007, ...

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 ...

The CUDA AI toolkit is being packaged with Rocky Linux, SUSE Linux, and Ubuntu. Don’t know CUDA? It’s a parallel computing platform and programming model that enables software developers to use Nvidia ...

As the AI arms race intensifies and the costs of vendor lock-in rise, a new class of challengers is stepping into the ring to loosen Nvidia’s grip on AI computing. Legacy tech companies such as AMD ...

DeepSeek and Huawei open-sourced a six-module AI programming toolkit on September 30, targeting Nvidia's CUDA software moat. The package, anchored by TileLang, gives developers a single codebase that ...

I recently read an article by Adam Mainz (@MainzOnX) titled "What even is a kernel?". It is an introductory article that ...

In context: PhysX is a moderately popular middleware used to add complex, physics-based interactions to 3D graphics in games and other software applications. Originally developed by the Swiss company ...

Why it matters: Nvidia introduced CUDA in 2006 as a proprietary API and software layer that eventually became the key to unlocking the immense parallel computing power of GPUs. CUDA plays a major role ...