Epoch AI collects key data on machine learning models from 1950 to the present to analyze historical and contemporary progress in AI. Our database is a valuable resource for policymakers, researchers, and stakeholders to foster responsible AI development and deployment.
Our public database, the largest of its kind, tracks over 3200 machine learning models from 1950 to today. Explore data and graphs showing the trajectory of AI.
Updated November 28, 2025
Track the performance of leading AI models on challenging benchmarks, with insights into compute and accessibility.
Updated November 29, 2025
Our open database of large AI data centers, using satellite and permit data to track compute, power use, and construction timelines.
Updated November 28, 2025
Key data on 160+ AI accelerators, such as GPUs and TPUs, used for developing and deploying ML models in the deep learning era.
Updated November 26, 2025
Our database of AI company data, with data on revenue, funding, staff, and compute for many of the key players in frontier AI.
Updated November 24, 2025
Our database of over 500 GPU clusters and supercomputers tracks large hardware facilities, including those used for AI training and inference.
Updated November 22, 2025
Epoch AI’s data is free to use, distribute, and reproduce provided the source and authors are credited under theCreative Commons Attribution license. Citations can be found on the respective pages for each dataset.
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We identify and track contemporary and historic advances in AI, collating key details across several areas. This research includes who developed models, when, and for what tasks, how much compute was used for training, how many parameters models have, how much data was used for training, what hardware was used for training, and more.
Epoch AI is a multidisciplinary research institute investigating the trajectory and impact of artificial intelligence.
We publish datasets, data visualizations, research reports, and predictive models to analyze the forces shaping AI development. Our goal is to foster scientific dialogue and bring empirical rigor to predictions about the future of AI.
We’re proud to partner with select stakeholders on projects aligned with our mission.
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