Accelerating ML innovation at MLCommons

MLCommons launched in December 2020 as an open engineering consortium that seeks to accelerate machine learning innovation and broaden access to this critical technology for the public good. David Kanter, the executive director of MLCommons, joins us to discuss the launch and the ambitions of the organization.

In particular we discuss the three pillars of the organization: Benchmarks and Metrics (e.g. MLPerf), Datasets and Models (e.g. People’s Speech), and Best Practices (e.g. MLCube).

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Featuring:

• David Kanter – GitHub • , X • Chris Benson – Website • , GitHub • , LinkedIn • , X • Daniel Whitenack – Website • , GitHub • , X Show Notes:

Learn more about People’s SpeechGet involved with the People’s Speech projectMLCube GitHub, including several different examplesMLCube Mailing listMLPerf Training BenchmarksMLPerf Training HPC BenchmarksMLPerf Inference Datacenter BenchmarksMLPerf Inference Edge BenchmarksMLPerf Inference Mobile BenchmarksMLCommons on Twitter Something missing or broken? PRs welcome!

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