I’m mostly concerned with what potential proprietary garbage is locked in the firmware of a laptop. Current PC motherboards are even worse for this, like even System76’s firmware for their desktops is proprietary. The work on HIPS to bridge CUDA and ROCm is active and open source. I’ll deal with some limitations to avoid nvidia treating me like garbage as a customer. There is a good bit of banter about how AMD is currently operating at around half its potential and that this is about to change. With OpenSIL and the effort AMD is putting into open source it seems like the better option. I want to do some more kernel hacking experiments with the CPU scheduler and process isolation. This is far easier when I don’t have to deal with asymmetrical cores and complicated management.
Regardless, the linked data telemetry shows plenty of people are running AMD GPUs just fine. I was expecting to see custom kernels used with the Radeon stuff and mostly people running mainline, but that is not the case. There are a few on the bleeding edge, but most are on old generic LTS kernels. It looks like it just works. The dataset includes the parameters and iteration time for each user running SD. It is a little slower than nvidia, but it still works fine. There are a lot of people running 8GB and smaller GPUs on SD.