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MLCommons

MLCommons

Operating Status: Operating

MLCommons publishes open industry-standard benchmarks for AI system quality and performance.

Founded
2020
Location
San Francisco, CA, US
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Library

MLCommons - Library

Official pages and third-party coverage in one index.

mlcommons.org·9 items across 7 mapped pages · Crawled Oct 2, 2026·

Topics

Publication type

Content origin
Row density

Official pages and third-party coverage in one index

Blog

1 page
  1. Insights/insights

    Read the most recent AI news, articles, and research from MLCommons as we share updates from our working groups, benchmarks, and datasets - advancing safe and responsible AI.

Careers & Hiring

1 page
  1. Jobs/jobs

    MLCommons is an AI engineering consortium, built on a philosophy of open collaboration to improve AI systems. Our collective engineering efforts span industry and academia, continually measure and improve the accuracy, safety, speed and efficiency of AI. Learn more about our open jobs.

Team

1 page
  1. Leadership/about-us/leadership

    Meet the MLCommons Leadership team. MLCommons is an open AI engineering consortium, Our goal is to improve AI systems though our collective engineering efforts with industry and academia, by continually measuring and improving the accuracy, safety, speed and efficiency of AI technologies.

About

2 pages
  1. About/about-us

    MLCommons is an AI engineering consortium, built on a philosophy of open collaboration to improve AI systems. Our collective engineering efforts span industry and academia, continually measure and improve the accuracy, safety, speed and efficiency of AI.

  2. Programs/about-us/programs

    MLCommons Systems and ML Rising Stars celebrate up-and coming researchers. Our goal is to improve AI systems though our collective engineering efforts with industry and academia, by continually measuring and improving the accuracy, safety, speed and efficiency of AI technologies.

Homepage

1 page
  1. Homepage/

    MLCommons aims to accelerate AI innovation to benefit everyone. It's philosophy of open collaboration and collaborative engineering seeks to improve AI systems by continually measuring and improving the accuracy, safety, speed and efficiency of AI technologies. We help companies and universities around the world build better AI systems that will benefit society.

Privacy

1 page
  1. Privacy/privacy

    MLCommons Association Data Privacy and Cookie Policy Last updated 7/8/2025 MLCommons Association (“MLC”) values your privacy. In this Data Privacy and Cookie Policy (“Policy”), we describe how we collect, use, and disclose information that we obtain about visitors to our website at mlcommons.org and affiliated websites the “websites”), members, users of our products or services (such as benchmark applications), and the information that we collect directly from our members and users. Please read

Not yet classified

1 page
  1. mlcommons.org/

    MLCommons aims to accelerate AI innovation to benefit everyone. It's philosophy of open collaboration and collaborative engineering seeks to improve AI systems by continually measuring and improving the accuracy, safety, speed and efficiency of AI technologies. We help companies and universities around the world build better AI systems that will benefit society.

Coverage

1 item
  1. Piloting the world's first double-blind AI evaluationsdeepmind.google/blog/piloting-the-worlds-first-double-blind-ai-evaluations/

    Google DeepMind introduces what it calls the first double-blind evaluation of a proprietary, frontier-class AI model, testing Gemini Flash Lite against confidential benchmarks with the Singapore AI Safety Institute, OpenMined, AVERI, and MLCommons. The evaluation uses Google Cloud Confidential Space and confidential computing to keep both model weights and evaluator prompts private. The approach aims to reduce benchmark contamination and strengthen confidence in external model assessments.

    Aug 2026 · Google DeepMindNews article