I think you’re assuming these big companies are serious about AI itself and not just joining in on a trend. They would much rather spend huge amounts of money on chips than hire a competent researcher who might tell them that they didn’t really need to waste so much money.

Im surprised we dont hear more about this, it seems like a huge motivator

Andrew Ng says ROCm is a lot better today than early 2023

The computing shops on my city shopping malls have enough laptops with NVIDIA GPUs, while they aren't at the same level as desktop or server GPUs, there are available and usable for people to learn CUDA, quite the contrary with most AMD offerings.

Not sure what you mean, both NVIDIA and AMD desktop GPUs are available, there is no particular shortage. Prices can be high for top ones, like NVIDIA 4090, but you can buy it.

Server GPUs are the ones difficult to buy.

People don't really learn CUDA, they use it mostly through another library like PyTorch.

Most AMD stuff doesn't work on consumer GPUs.

Try to make ROCm work on a random AMD card.