## Documents - [Benchmark MLPerf Training \| MLCommons Version 2.0 Results](https://mlcommons.org/benchmarks/training/) - ベンチマーク結果を投稿しているのは、NVidiaやOracle、Googleなどがほとんど。 - [GitHub - mlcommons/policies: General policies for MLPerf™ including submission rules, coding standards, etc.](https://github.com/mlcommons/policies/tree/master) - 一般の規約 - [training\_policies/training\_rules.adoc at master · mlcommons/training\_policies · GitHub](https://github.com/mlcommons/training_policies/blob/master/training_rules.adoc) - トレーニング用の規約 ## Papers - [[2019__MLSys__MLPerf Training Benchmark]] ## Pricing https://mlcommons.org/benchmarks/training/ ベンチマークの投稿にはMLCommonsのメンバーになっている必要がある。"Membership levels"が"General Member, Large Organization"であれば、`$75,000/year + $75,000 initiation fee` （1年だけだとしても2000万円程度）程度の費用が発生する。 https://github.com/mlcommons/policies/blob/master/MLPerf_Results_Messaging_Guidelines.adoc > Since your results have not gone through MLCommons review and, therefore, have not been verified by MLCommons, you must indicate your results are not verified by using the term “unverified” next to each result score and by using the following language when publishing or otherwise discussing your results: “Result not verified by MLCommons Association.”