Programming model moves from managing thousands of low-level threads to working with high-level ‘tiles of data’ ...

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 ...

Calling it the largest advancement since the NVIDIA CUDA platform was inroduced in 2006, NVIDIA has launched CUDA 13.1 with ...

CUDA and Tensor Cores are some of the most prominent specs on an NVIDIA GPU. These cores are the fundamental computational blocks that allow a GPU to perform a bunch of tasks such as video rendering, ...

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

Nvidia Corporation's parallel computing platform, CUDA, is a key factor in the company's competitive advantage, with exponential growth showcased at COMPUTEX 2023, boasting over four million ...

Graphics processing units (GPUs) are traditionally designed to handle graphics computational tasks, such as image and video processing and rendering, 2D and 3D graphics, vectoring, and more.

Compute Unified Device Architecture, or CUDA, is a software platform for doing big parallel calculation tasks on NVIDIA GPUs. It’s been a big part of the push to use GPUs for general purpose computing ...

TL;DR: NVIDIA's RTX PRO 6000 Blackwell workstation GPU series will debut at GTC 2025, featuring the GB202 GPU with 24064 CUDA cores, 96GB of GDDR7 memory, and a 600W TDP. It includes 752 Tensor Cores, ...

We all know CUDA is currently king of the hill when it comes to GPGPU & ML in particular, and that CUDA is an NVIDIA product limited to NVIDIA hardware, and that Apple & NVIDIA “don’t get along” i.e.