Unsurprisingly every now and then there’s discussions on computer hardware for image processing here, like Batch Process Hardware. And GPUs factor heavily in there mainly because of darktable’s use of OpenCL (and maybe soon because of vkdt’s crazy fast processing fully on GPU ). More surprisingly to me, in that thread AMD radeon cards aren’t even mentioned. Doing some digging turns up a few cases where AMD comes up, but they are rare. I recently talked to a friend working for nvidia, but on machine learning, and talking about consumer GPUs he was of the opinion (!), that nvidia has a huge problem there. Apparently they still produce the fastest GPUs, but are consistently behind AMD when it comes to performance per price. A quick google search corroborates that. I am not at all up-to-date on hardware anymore, and from earlier times I know the questionable quality of the average hardware review, so that doesn’t say much. And they are most likely addressed at gamers, not photo processing. So I thought I’d ask in a place where I’ll definitely get info related to image processing, and where linux isn’t ignored either: here
What are the relative advantages and disadvantages nvidia and amd gpus have over each other?
I am looking at performance for image processing, and also compatibility and easy of use on linux. And while that might sound somewhat objective (and I love to read objective arguments), this will inevitably involve a good degree of opinion - which is totally fine, I think there’s a lot of value in the opinion of the crowds here