> we'll probably also see more things like Cerebras become commodity hardware instead of kilowatt-class datacenter only hardware.

Cerebras uses a unreal amount of SRAM to make these dies feasible. If AI weights become small enough to fit into commodity-scale Cerebras chips like that, you might as well load it into unified memory instead and run inference on a GPGPU-capable SOC instead. CUDA-style acceleration makes much more sense at that scale, especially if your use-case is just realtime conversational AI on a smartphone.