Analog computers can't easily be mutliplexed and the integration density of memory + other compute is nowhere near as high as current SRAM/DRAM. This might change with memristive crossbars, but that still doesn't solve the structural part of the problem, since most deep learning workloads are nowadays structurally very far from a feed-forward perceptron and dynamic execution etc. are absent from analog approaches.