When it comes to training and inference workloads for machine learning models, performance is king. Faster system performance equates to faster time to results. But how do you objectively measure system ML training and inference performance? In a word, look to MLPerf. MLPerf is a machine learning benchmark suite from the open source community that sets a new industry standard for benchmarking the performance of ML hardware, software and services. Launched in 2018 to standardize ML benchmarks, MLPerf includes suites for benchmarking both training and inference performance. The training benchmark suite measures how fast systems can … READ MORE

Source: Dell Blog
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