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Vulkan can't reliably do parallel dispatches, certainly not with any kind of scheduling fairness guarantee. CUDA has cooperative groups, which is a huge advantage.

Okay, I see your point about dev environments. It's like cameras, the best dev toolchain is the one you already have installed on your machine. I'll fix this but want to think about the best way to say it. I still believe there's a case to be made that CUDA is a heavyweight dependency.

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Thanks for listening Raph! It’s a good post, I’m picking nits. CUDA is a heavyweight dependency, I don’t have any problem with that. It’s just that most dev environments are heavy dependencies to development, so it’s mostly about what we’re comparing CUDA to. The driver is the runtime dependency, and it’s something to consider, but CUDA is pretty good about backward and forward compatibility. It’s true that CUDA code only runs on NV hardware, and I hope some of the good things CUDA has will make it to WebGPU & Vulkan. It’s not super common to build CPU code that only runs on Intel.