If we are just after AI now we should drop the GPU concept and call it what it is - Matrix multipliers. With that framing, we can move to in-memory compute so t

If we are just after AI now we should drop the GPU concept and call it what it is - Matrix multipliers. With that framing, we can move to in-memory compute so the data doesn't have to be moving around so much. Memory chips could have lines of MAC units at some intervals and something to compute the nonlinear functions after summing. Fixed sizes could be implemented in hardware and software would spread larger computations over a number of tiles. If this were standardized we might see it end up as a modest premium price on memory chips. nVidia step aside it's going to be Micron, Hynix and friends revolutionizing AI.