[dharma1]

Performance. OpenCL has been 2-5x slower for ML than CUDA. Not sure of the exact reason but I think it's the highly optimised kernels which are not there with OpenCL, but are with CuDNN. I think it's mostly a software issue, compute capacity in theory should be more or less the same with equivalent AMD/NVidia cards.

AMD should have invested much more heavily into ML, if they had, their share price would probably look a bit better than it does now.

This looks interesting - running CUDA on any GPU. http://venturebeat.com/2016/03/09/otoy-breakthrough-lets-gam...