MLPerf is vital to AI and machine learning because it is an industry-standard benchmark with peer review results that provides valid comparisons for model training and inference.

Machine learning workloads require large datasets, while machine learning workflows require high data throughput. We can optimize the data pipeline to achieve both.

The process used to build most of the machine-learning models we use today can't tell if they will work in the real world or not—and that’s a problem.