GIGABYTE Technology, an industry leader in high-performance servers and workstations, today announced GIGABYTE as one of the founding members of MLCommons, an open engineering consortium with the goal of accelerating machine learning with benchmarking, large-scale open data sets, and best practices that are community-driven.

In 2018, a group from Google, Baidu, Harvard, and Stanford created a benchmarking suite for machine learning called MLPerf. The purpose was to evaluate the new generation of accelerators to neural-networking jobs performance. By having benchmarking tools, companies and universities would be able to design hardware and software optimized for training and inferencing machine learning workloads.