I agree there's something very fishy here. Some of the points on that chart list the architectures, others don't. For instance, Movidius Myriad VPU 2 can run a

I agree there's something very fishy here. Some of the points on that chart list the architectures, others don't. For instance, Movidius Myriad VPU 2 can run a variety of different architectures. Also... LeNet isn't THAT bad on CIFAR-10. It can easily reach 75% after 200 epochs. I think these specialized chips can be useful in mobile or low power applications, but for servers the flexibility of a GPU or reprogrammable FPGA is worthwhile. Advancements in ML are frequent and nobody wants to be stuck with hardware that can't run a newer architecture.