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 – Twitter, GitHub
• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

• Learn more about People’s Speech
• Get involved with the People’s Speech project
• MLCube GitHub, including several different examples
• MLCube Mailing list
• MLPerf Training Benchmarks
• MLPerf Training HPC Benchmarks
• MLPerf Inference Datacenter Benchmarks
• MLPerf Inference Edge Benchmarks
• MLPerf Inference Mobile Benchmarks
• MLCommons on Twitter

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