MLPerf inference submitter orientation: "making it easier to run MLPerf benchmarks out-of-the-box and submit results"

This presentation is a part of the MLPerf inference submitter orientation. It explains how to make it easier to run MLPerf inference benchmarks out-of-the-box and automate submissions across diverse software, hardware, models and data from different vendors using the MLCommons CM automation language and MLCommons CK playground. The documentation to run MLPerf benchmarks using CM is available here