Yeah, ROCm is the most viable candidate as of today. In general, Nvidia are not good for middleware vendors. They want to be one, but don't offer a platform that integrates with anything. Licensing costs for the DGX-1 are insanely high. My problem is mostly from a data scientist perspective - teams don't need a few high performance GPUs, like a couple of DGX-1 boxes. They need a hundred 1080Tis, maybe complemented by a DGX-1 (which would cost the same a 2 DGX-1s). That way they can do lots of parallel experiments (hyperparam optimization), and distributed training. Making GPUs a scarce resource just re-inforces the lead of the hyperscale AI companies, who have thousands of GPUs available for their data scientists.