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.

Traditionally, powerful graphics processors have been useful mostly to gamers looking for realistic experiences along with engineers and creatives needing 3D modeling functionality. From spending a ...

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 ...

The NVIDIA H100 Tensor Core GPU is built for AI workloads, designed to work alongside a string of other H100 GPUs, and costs around USD 40,000 a pop. It's a general-purpose GPU and AI accelerator, so ...