GPUs are designed to perform matrix multiplication in parallel across several streaming multiprocessors. A cpu, while faster for a single multiply, cannot match the parallelism a GPU offers. Because matrix multiplication is used throughout machine learning, a GPU is often much better to use than a CPU.
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