> I'm curious what is prickly or hard about it. I don't want to presume, but it sounds like you haven't actually tried using ROCm "what should be". My experie

> I'm curious what is prickly or hard about it. I don't want to presume, but it sounds like you haven't actually tried using ROCm "what should be". My experience with it was an absolute nightmare, I've never gotten ROCm working before. Just as well, since it turns out my systems never would have supported it for various reasons (lacking PCIe atomics for one), but I never actually got so far as to run into the driver problem, I never got the whole custom LLVM fork/ROCm software stack to work. Caveat, I'm not professionally involved in deep learning or HPC, and as others have mentioned, the framework was only intended for a few specific cards running on very specific hardware for HPC cases. But pretending like this is even a fraction as useful for the "average" person trying to experiment or even work at a low-medium level in machine learning feels off to me. I don't think people will be swayed by platitudes about creating a competitive open-systems ecosystem to use plainly inferior software. Companies aren't going to spend oodles of money (and individuals won't volunteer tons of time) to suffer porting frameworks to target bare-bones APIs for the sake of being good sports. Until either nvidia screws over everyone so much that using AMD cards becomes the path of least resistance, or AMD/Intel offers products at significantly lower prices than nvidia, I don't see the status quo changing much.