Nov 23, 2023 16:00:00 Summary of basic knowledge needed to speed up numerical calculations and AI training using GPU/CUDA with code examples GPUs have far more cores than CPUs and can perform a ...

There are three real lessons to be learned here: 1) Super-straightforward CUDA code like that has NO CHANCE of ever being faster than optimized cublas kernels. If it is, something is wrong.

It compiles Python functions just in time into kernel code that runs on x86 CPUs and CUDA GPUs. Nvidia itself remains silent about the background to the license change.