Who knows, likely not many aside from some folks training in GCP on TPUs but any large funded corporation has a path laid out by Google. And Apple with its M-series. You can build hardware and dedicated ML chips and if you can do that the software ecosystem knows how to handle it.
CUDA isn't the moat, it's the chips.
NVIDIAs moat is still the chips. Building huge systems and ecosystems is a game for only the most capitalized entities but all of them can do so.
The software part is already a solved problem, at the cost of a new compiler.
