MLPerf Results Highlight More Capable ML Training - insideBIGDATA

Today, MLCommons, an open engineering consortium, released new results from MLPerf Training v2.0, which measures the performance of training machine learning models. Training models empowers researchers to unlock new capabilities faster such as diagnosing tumors, automatic speech recognition or improving movie recommendations. The latest MLPerf Training results demonstrate broad industry participation and up to 1.8X greater performance ultimately paving the way for more capable intelligent systems to benefit society at large. The MLPerf Training benchmark suite comprises full system tests that stress machine learning models, software, and hardware for a broad range of applications. The open-source and peer-reviewed benchmark suite provides a level playing field for competition that drives innovation, performance, and energy-efficiency for the entire industry.