3x27: Benchmarking AI with MLPerf

How fast is your machine learning infrastructure, and how do you measure it? That's the topic of this episode, featuring David Kanter of MLCommons, Frederic Van Haren, and Stephen Foskett. MLCommons is focused on making machine learning better for everyone through metrics, datasets, and enablement. The goal for MLPerf is to come up with a fair and representative benchmark to allow the makers of ML systems to demonstrate the performance of their solutions. They focus on real data from a …

ai benchmarking mlperf