I think the biggest problem for ml practitioners is that amd doesn't take the middle layer seriously. Last we tried, the and equivalent of cuda/cudnn (rocm) is

I think the biggest problem for ml practitioners is that amd doesn't take the middle layer seriously. Last we tried, the and equivalent of cuda/cudnn (rocm) is riddled with stability bugs so it superficially works for quick tasks but if you need to do long runs it's an open question of whether or not it will work. This is really frustrating because in theory AMD gpgpus have a better architecture for ml. My guess is that it's also tough to get deals with AMD for their workstation class products which are competitive with Nvidia's rtx line, and the price/performance delta (both in terms of unit cost and power cost) is not huge. There are some consumer class amd gpus that have attractive price/performance, but they are being sunsetted and the future driver support is questionable. I looked at the Radeon 7, but it's bazel is a few millimeters out of pci spec so it literally doesn't fit in a 8u GPU chassis, and it's an architecture with an uncertain future.