Benefits of Distributed Parallel Learning When models are too large to fit on or take too long on a single GPU, distributed parallel techniques such as Data parallel can be used to enable training and accelerate the training process to obtain results in a reasonable time. Faster processing times also have the advantage of reducing electricity and cost.
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