NVIDIA has revealed the GB300 Blackwell Ultra, a massive step forward in its AI accelerator lineup. This chip builds on the ...

Not every developer who might like to learn CUDA has access to an NVIDIA GPU, so by expanding the hardware that CUDA can target to include x86, you'll be able to get your feet wet with CUDA on ...

In this Programming Throwdown podcast, Mark Harris from Nvidia describes Cuda programming for GPUs. "CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic ...

Huawei makes its CANN AI GPU toolkit open source to challenge Nvidia’s proprietary CUDA platform CUDA’s near 20-year dominance has locked developers into Nvidia’s hardware ecosystem exclusively CANN ...

To that end, the CUDA architecture is designed to work with programming languages such as C, C++, and Fortran, making it easier for parallel programmers to use GPU resources.

Today NVIDIA released Cuda 9.2, which includes updates to libraries, a new library for accelerating custom linear-algebra algorithms, and lower kernel launch latency. "CUDA 9 is the most powerful ...

Part of the reason Nvidia has a lock on both workstation and high performance computing is CUDA, its programming language for GPU compute. Now one company, Otoy, is claiming to have broken that lock.

More than 335 universities around the world now teach CUDA GPU programming and Nvidia’s CUDA developer toolkit has been downloaded more than 200,000 times, according to the company.

But, the new Mac Pro A) exists and B) has a beast of a graphics card in it. A Radeon graphics card. Which doesn’t support CUDA. Now, Apple has Metal, its framework for GPU programming.