My understanding is that theirs is a pure hardware solution. The hardware is flexible enough to model any current NN architecture. (Incidentally, there are bla

My understanding is that theirs is a pure hardware solution. The hardware is flexible enough to model any current NN architecture. (Incidentally, there are black box optimization algorithms, so a system as good as grok at inference might be useful for training even if it can't support gradient descent)