It looks like to me the big win here is that this is a ML library just like all the others, except that the code is not written for a specific type of processor

It looks like to me the big win here is that this is a ML library just like all the others, except that the code is not written for a specific type of processor (GPU versus CPU), nor is it written for a specific compute level (desktop, server, phone). It's target is to be a general purpose ML library. This should have the affect of getting ML solutions into useable applications more quickly, since you don't have to develop on one platform, then port to another. It just works everywhere. Best guess on my part based on what I'm reading on the site.