>AI is all about Torch/TF, not details below that This could be 100% true, and the best ML engineers in the world could be completely oblivious to CUDA and it

>AI is all about Torch/TF, not details below that This could be 100% true, and the best ML engineers in the world could be completely oblivious to CUDA and it wouldn't change why nvidia is leading right now. Anyone who thinks it's "trivial" to use AMD cards should help geohot and his tinygrad boxes. Despite emailing the CEO several times, it was a clear uphill battle to get something working, and even now the sales page lists driver quality as "mediocre". If you open a GitHub issue or a forum post about your weird CUDA application that isn't working right, you will have an engineer help you. This is in nvidia's DNA and they did this before AI started printing money. On the flipside, you can email Lisa Su today and still not have problems fixed in AMDs drivers. I'm sure AMD is trying, this isn't to say they aren't, but having decent software culture at these large companies is hard. If AMD can't do it, I feel even less confident about Intel. If the CUDA moat truly didn't matter, we would see AMD cards in demand. However it doesn't and it isn't for lack of trying.