Epoch AI collects key data on machine learning models, benchmarks, data centers, chip sales, hardware, and companies to analyze historical and contemporary progress in AI. Our databases are a valuable resource for policymakers, researchers, and stakeholders to foster responsible AI development and deployment.
Track the performance of leading AI models on challenging benchmarks, with insights into compute and accessibility.
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.
Our open database of large AI data centers, using satellite and permit data to track compute, power use, and construction timelines.
Our open database of AI Chip sales, using financial reports, company disclosures, and more to estimate compute, power usage, and spending over time for a wide variety of AI chips.
Our database of AI company data, with data on revenue, funding, staff, and compute for many of the key players in frontier AI.
Our database of over 500 GPU clusters and supercomputers tracks large hardware facilities, including those used for AI training and inference.
Key data on over 170 AI accelerators, such as GPUs and TPUs, used for developing and deploying ML models in the deep learning era.
Tracking adoption and usage patterns, across demographics.
Epoch AI's data is free to use, distribute, and reproduce provided the source and authors are credited under the Creative Commons Attribution license. Citations can be found on the respective pages for each dataset.