Open engineering consortium for machine learning formed from MLPerf.

December 04, 2020 // By Peter Clarke
Open engineering consortium for machine learning formed from MLPerf.
MLCommons, a not for profit, engineering consortium has been formed out of MLPerf, an organization started in 2018 to generate benchmarks for measuring training and inference performance.

The organization will take on some engineering activities and has a founding board of directors that includes representatives from Alibaba, Facebook, Google, Intel, Nvidia and Professor Vijay Janapa Reddi of Harvard University.

The founding membership includes 15 startups and small companies that focus on semiconductors, systems, and software from across the globe, as well as researchers from University of California Berkeley, University Stanford, and the University of Toronto.

"MLCommons has a clear mission – accelerate Machine Learning innovation to 'raise all boats' and increase positive impact on society," said Peter Mattson, President of MLCommons, in a statement. "We are excited to build on MLPerf and extend its scope and already impressive impact, by bringing together our global partners across industry and academia to develop technologies that benefit everyone."

MLCommons will take on such tasks as developing and providing access to AI and Machine Learning datasets and models, best practices, benchmarks and metrics. An intent is to enable access to machine learning solutions such as computer vision, natural language processing, and speech recognition by as many people, as fast as possible.

MLCommons has some similarities to Linaro, which develops open-source software for the ARM ecosystem. MLCommons will provide pre-competitive infrastructure to help propel the adoption of machine learning and artificial intelligence for the benefit of all ML-oriented companies.

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