Unlike CPUs, GPUs are designed to be able to perform operations with very high degree of parallelism, thanks to hundreds of processing units (at the cost of lesser capabilities of each unit). If a task is about manipulating large arrays of numbers, which is often the case in both 3D graphics and neural or networks, a GPU may complete it much faster than a CPU.
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