Explained: NVIDIA’s Record-Setting Performance On MLPerf v1.0 Training Benchmarks

Last June, MLCommons, an open engineering consortium, released new results for MLPerf Training v1.0, the organisation's machine learning training performance benchmark suite. The latest version includes vision, language and recommender systems, and reinforcement learning tasks.  MLCommons started with the MLPerf benchmark in 2018 in collaboration with its 50+ founding partners, including global technology providers, academics and researchers. Since then, it has rapidly scaled to measure machine learning performance and promote transparency of machine learning techniques.  MLPerf training measures the time it takes to train ML models to a standard quality target in various tasks, including image classification, NLP, object detection, recommendation, and reinforcement learning. The full system benchmark tests machine learning models, software, and hardware.  NVIDIA has submitted its training results for all eight benchmarks. It has improved up to 2.1x on a chip-to