MLCommons
Business Services · Costa Rica · 1-10 Employees
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Overview
Headquarters
Costa RicaWebsite
www.mlcommons.orgRevenue
$6.6 MillionIndustry
ZI Rank: 1
Signal Type
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About MLCommons
MLCommons is dedicated to accelerating AI innovation for the benefit of society through open collaboration and engineering. The organization provides various benchmarks and standard metrics to measure and enhance AI system performance, safety, and efficiency. With over 125 members from industries, academia, and non-profits worldwide, it aims to democratize AI and promote responsible AI development. Their initiatives include creating extensive datasets and fostering community-driven research to improve AI technologies.Explore more
MLCommons Org Chart
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MLCommons is experiencing very low activity levels compared to other companies in the Business Services sector.
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MLCommons is drawing exceptional interest within the Business Services industry, suggesting notable developments or strong market momentum, learn more about MLCommons.
MLCommons Tech Stack
A closer look at the technologies used by MLCommons
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Most Recent Scoops
Partnership
Partnership, Business Development, Software, Artificial Intelligence
Event
Person-Based
David Kanter, Founder, Head of MLPerf, appeared on a podcast called "Tech Talks Daily" on 05/24/2025. Topics discussed include AI benchmarking, Moore's Law, power consumption.
Events
Open Position
Partnership
Partnership, Engineering, Research & Development, Machine Learning, Software
MLCommons News & Media
MLPerf Client v1.5 Advances AI PC Benchmarking with Windows ML Integration
MLPerf Client v1.5 is out! New AI PC benchmark adds Windows ML integration, expanded platform support (iPad), and experimental power/energy measurement.MLCommons Releases MLPerf Training v5.1 Results
MLPerf Training v5.1 results show substantial genAI performance gains, system diversity, and scale, with new Llama 3.1 8B and Flux.1 benchmarks introduced.AI Model Growth Outpaces Hardware Improvements
Since 2018, the consortium MLCommons has been running a sort of Olympics for AI training. The competition, called MLPerf, consists of a set of tasks for training specific AI models, on predefined datasets, to a certain accuracy. Essentially, these tasks, called benchmarks, test how well a hardware and low-level software configuration is set up to train a particular AI model. Twice a year, companies put together their submissions—usually, clusters of CPUs and GPUs and softwareMLCommons New MLPerf Tiny v1.3 Benchmark Results Released
MLPerf Tiny v1.3 benchmark results released with new streaming wake-word test, measuring performance of neural networks under 100KB across platforms.
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MLCommons is dedicated to accelerating AI innovation for the benefit of society through open collaboration and engineering. The organization provides various benchmarks and standard metrics to measure and enhance AI system performance, safety, and efficiency. With over 125 members from industries, academia, and non-profits worldwide, it aims to dem... Read More
