For which applications are AMD GPUs more suited? Last I looked at the available chips, AMD sometimes had higher FLOPS or memory throughput (and generally lower cost), but I don't recall any qualitative advantages. In contrast, just to pick something I care about, NVIDIAs memory and synchronisation model allows operations like prefix sums to be significantly more efficient.
They may have had an edge on 64-bit performance, which is pretty much useless for deep learning, but can be useful e.g. physics simulations or other natural science applications.
