MLCommons

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MLCommons is an AI engineering consortium that accelerates AI innovation through open collaboration. It provides benchmarks and data tooling to measure and improve AI accuracy, safety, speed, and efficiency.

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At a glance

Pricing

Likely Free

Free tier

Yes

API

Skill level

Technical

About

What is MLCommons?

MLCommons is a global AI engineering consortium dedicated to accelerating AI innovation for the benefit of everyone. Through open collaboration and collective engineering with industry and academia, MLCommons continually measures and improves the accuracy, safety, speed, and efficiency of AI technologies. The organization develops industry-standard benchmarks like MLPerf, AILuminate, and AlgoPerf, alongside open, large-scale datasets and data standards such as Croissant. Its work focuses on building trusted, safe, and efficient AI systems by providing quantitative tools for responsible AI development, addressing AI risk and reliability, and fostering a vibrant community of AI experts and enthusiasts.

Best used for

Ideal for developers and researchers who need to rigorously benchmark AI models, evaluate AI system safety, and access standardized datasets for their projects. Especially valuable for organizations seeking to contribute to and benefit from open, collaborative AI engineering efforts and improve the reliability of their AI applications.

Common actions

benchmark AI performance

evaluate AI safety

standardize AI data

collaborate on AI research

Capabilities

Key features

AI performance benchmarks
AI risk frameworks
Open datasets
Data standards (Croissant)
Collaborative engineering
AI safety methodology

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Likely Free

Not publicly disclosed. Check mlcommons.org for current pricing.

FAQs

What kind of benchmarks does MLCommons provide?

MLCommons offers a range of benchmarks including MLPerf for measuring AI performance across various domains like datacenter, edge, and mobile inference, and AILuminate for evaluating AI safety, jailbreak resistance, and agentic/multimodal capabilities. They also have AlgoPerf for training algorithms.

How does MLCommons address AI risk and reliability?

MLCommons has a dedicated AI Risk & Reliability working group composed of industry leaders and researchers. This group focuses on building harmonized approaches for safer AI through quantitative tools, safety methodologies, and resources to guide responsible AI development and ensure accountability.

What is Croissant and how does it relate to MLCommons?

Croissant is a metadata standard developed by MLCommons that makes machine learning work easier to reproduce and replicate. It is part of MLCommons' efforts to build open, large-scale, diverse datasets and a rich ecosystem of techniques and tools for AI data, supporting scientific research.

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