MLPerf Education Task Force Weekly Meetings Signup Form
We are preparing a new MLPerf Education Work Group to modularize MLPerf and automate submissions. Please sign up if you are interested to participate in the following community developments:
  • Develop portable workflow automation within MLCommons to make it easier to plug any real-world ML & AI tasks, models, data sets, software and hardware into the MLPerf benchmarking infrastructure.
  • Use this automation to help the newcomers learn how to customize and run MLPerf benchmarks across rapidly evolving software, hardware and data.
  • Lower the barrier of entry for new MLPerf submitters and reduce their associated costs.
  • Automate design space exploration of diverse ML/SW/HW stacks to trade off performance, accuracy, energy, size and costs; automate submission of Pareto-efficient configurations to MLPerf.
  • Help end-users reproduce MLPerf results and deploy the most suitable ML/SW/HW stacks in production.
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