It is the former, that Nvidia effectively sponsors ML libraries. If you're training a neural network, and you are hiring expensive ML people, you're likely just going to pay the Nvidia tax than work on ROCm support.

My use of ROCm for signal processing has been pretty nice so far, and I think the ROCm BLAS library is up to par now.