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, ...

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 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 ...

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 ...

CUDA is a parallel computing programming model for Nvidia GPUs. With the proliferation over the past decade of GPU usage for speeding up applications across HPC, AI and beyond, the ready availability ...

Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...

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 ...

Machine learning in quant research is nothing new, but as the need for ultra-low speeds increases and the power of graphics processing units (GPUs) increases, optimizing them to supercharge the speeds ...

Nvidia’s stranglehold on AI accelerators is mostly due to the software side that has been programmed for the CUDA libraries. AMD’s ROCm platform represents a viable alternative, but not too many ...