>The point that is entirely missed here is that we, as a community, are screwing up by not steering the field toward better hardware compatibility, No, there i

>The point that is entirely missed here is that we, as a community, are screwing up by not steering the field toward better hardware compatibility, No, there is a limit to the mount of handwringing, begging, and crying the community can do that would have forced AMD to take GPGPU computing seriously. CUDA didn't spring out of no where, it's 16 years old and in that time many people have begged AMD to properly support OpenCL or RocM. It's not the communities fault that AMD didn't take this field seriously until it was too late. Seriously, the consumer GPUs don't even get official RocM support, but somehow it's nvidia's fault that AMD didn't care to support RocM. I'm sure AMD will wake up now that CUDA is a trillion dollar market, but it's unfair to blame users supporting CUDA. nvidia invested in open source for more than a decade now, and there were people who foresaw the current situation and tried to develop more open backends for frameworks like torch. Unfortunately developers don't work for free and nvidia spent the money and AMD did not. It's not users fault that they didn't work, for free, to get tensorflow working on AMD. Geohot[1] nearly gave up on AMD entirely when their own drivers don't work. This isn't new, AMD is culpable for the current situation, the community didn't end up here due to indifference. [1] https://github.com/ROCm/ROCm/issues/2198 https://github.com/ROCm/ROCm/issues/2198