MLPerf benchmarks are developed by a consortium of AI leaders across industry, academia, and research labs, with the aim of providing standardized, fair, and useful measures of deep learning performance. MLPerf training focuses on measuring time to train a range of commonly used neural networks for the following tasks: Lower training times are important to speed time to deployment��
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