Machine learning workflows require iteration and experimentation. Improvements in performance, particularly speed, provides the opportunity to run additional experiments within a day, week, or month. The ability to increase iteration and experimentation potentially leads to improved models and impactful insights. Training benchmarks suites from industry consortiums, including MLPerf Training��
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