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bri3dtoday at 3:39 AM1 replyview on HN

The CUDA runtime coming with a gazillion reasonably decent kernels (DNN, BLAS, CUTLASS) and a concurrency system (NCCL) is a big deal; especially in the “early days” very few researchers or development runtimes were even writing their own kernels or dealing with CUDA C++ extensively, they were wrapping the ones NVidia gave them.

I do agree that it’s really not great, and I also have never been a strong believer in the CUDA moat overall; as the need for GPUs moves from research to production (inference), companies are plenty willing to build software from scratch anyway (and we see this with AMD GPUs being in plenty high demand in the datacenter and enthusiast market now).


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galaxyLogictoday at 5:46 AM

What I don't quite get is why can't they use AI to translate CUDA programs into more open architectures like AMD ROCm?

AI is supposed have solved the "coding problem". But shouldn't translating a program from one platform to another be an even easier, more mechanical, task for the AI?

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