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mlcommons better ai for everyone skip to content benchmarks ailuminate benchmark algoperf training algorithms mlperf automotive mlperf client mlperf inference datacenter mlperf inference edge mlperf training hpc mlperf inference mobile mlperf storage mlperf inference tiny mlperf training working groups ai risk reliability ai risk reliability mlperf mlperf automotive mlperf client infra mlperf inference mobile mlperf storage mlperf tiny mlperf training power data croissant datasets medical ai mlcube research algorithms chakra data centric ml science ailuminate overview ailuminate safety safety methodology safety technical users safety resources safety faq ailuminate jailbreak jailbreak methodology jailbreak faq ailuminate agentic ailuminate multimodal datasets overview cognata dollar street multilingual spoken words people s speech unsupervised people s speech about about mlcommons jobs leadership our members rising stars program policies insights news blogs research get involved search benchmarks ailuminate benchmark algoperf training algorithms mlperf automotive mlperf client mlperf inference datacenter mlperf inference edge mlperf training hpc mlperf inference mobile mlperf storage mlperf inference tiny mlperf training working groups ai risk reliability ai risk reliability mlperf mlperf automotive mlperf client infra mlperf inference mobile mlperf storage mlperf tiny mlperf training power data croissant datasets medical ai mlcube research algorithms chakra data centric ml science ailuminate overview ailuminate safety safety methodology safety technical users safety resources safety faq ailuminate jailbreak jailbreak methodology jailbreak faq ailuminate agentic ailuminate multimodal datasets overview cognata dollar street multilingual spoken words people s speech unsupervised people s speech about about mlcommons jobs leadership our members rising stars program policies insights news blogs research get involved search better ai for everyone building trusted safe and efficient ai requires better systems for measurement and accountability mlcommons collective engineering with industry and academia continually measures and improves the accuracy safety speed and efficiency of ai technologies get involved our members mlcommons is supported by over 125 members and affiliates including startups leading companies academics and non profits from around the globe view all by the numbers accelerating ai innovation at mlcommons we democratize ai through open state of the art industry standard benchmarks and data tooling to measure quality performance and risk 125 mlcommons members and affiliates 10 benchmark suites 89 7 k mlperf performance results to date 700 k datasets using the croissant metadata vocabulary what we do performance benchmarks benchmarks help balance the benefits and risks of ai through quantitative tools that guide responsible ai development they provide neutral consistent measurements of accuracy speed and efficiency which enable engineers to design reliable products and services and help researchers gain new insights to drive the solutions of tomorrow learn more ai risk reliability the mlcommons ai risk reliability working group is composed of a global consortium of ai industry leaders practitioners researchers and civil society experts committed to building a harmonized approach for safer ai learn more data research evaluating and delivering more reliable ai systems depends on rigorous standardized test datasets and data standards mlcommons builds open large scale diverse datasets and a rich ecosystem of techniques and tools for ai data our work includes croissant today s metadata standard that makes ml work easier to reproduce and replicate our shared research infrastructure and diverse community aid the scientific research community to derive new insights for new breakthroughs in ai learn more community community driven and funded we re a collective of data nerds ai experts and enthusiasts who are passionate about accelerating ai while data modeling and all that good stuff is critical it s the people behind it all that are the bedrock of mlcommons get involved latest insights a new standard for ai risk how the ailuminate global assurance program is reshaping reliability news february 19 2026 mlcommons lays the foundation for defensible jailbreak benchmarking blog february 16 2026 what s new in croissant 1 1 extensible agent ready ml dataset standard blog february 12 2026 technical standards are the bridge to enabling ai adoption news february 11 2026 dlrmv3 generative recommendation benchmark in mlperf inference news february 10 2026 view all better ai for everyone stay updated get the latest mlcommons updates delivered fresh to your inbox indicates required fields email by submitting this form you agree to our privacy policy 2026 mlcommons mlcommons mlperf and mlcube are registered trademarks of mlcommons association privacy policy policies follow us on github follow us on discord follow us on 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