Well hand TPU for ML is a great example (about x1000 speed improvement for tensor computation over a CPU). BUT .... TPU is just a specialized GPU which has be

Well hand TPU for ML is a great example (about x1000 speed improvement for tensor computation over a CPU). BUT .... TPU is just a specialized GPU which has been around for 20 years? So very slow evolution of a pre-existing HW component Deep learning has been around for 5 years and we already have 2 or 3 generation of frameworks. So very rapid revolution of DSL implemented on abstracted HW Which is the complete opposite HW-SW advocacy ?