Computations performed via abacus through physical manipulation of beads are orders of magnitude slower than computations performed with silicon transistors in GPUs. Silicon wafers capable of parsing trillions of voltage signals a second in support of deep learning are also smaller than traditional abaci. It is not likely that the abacus has any advantage over GPUs in terms of deep learning efficiency.
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