Open data on AI
Open datasets on AI models, chips, data centres, companies and AI use: tables to browse and download as CSV.
- AI chip components
Our estimates of how much advanced logic wafer capacity, CoWoS packaging, and HBM memory leading AI chip designers consumed.
Files: 3 · 153 rows
- AI chip imports
Our open database of AI chip imports, using global customs and domestic production data to estimate the geographic distribution of AI chips.
Files: 2 · 17,545 rows
- AI chip owners
Our estimates of how the world’s leading AI chips and compute capacity are distributed among major players and customer categories.
Files: 3 · 1,114 rows
- AI chip sales
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.
Files: 3 · 215 rows
- AI chip users
Our estimates of how much computing power the leading AI developers rent or use, measured in Nvidia H100-equivalents (H100e).
Files: 1 · 11 rows
- AI companies
Our database of AI company data, with data on revenue, funding, staff, and compute for many of the key players in frontier AI.
Files: 6 · 249 rows
- AI data centers
Open database of AI data centers using satellite and permit data to show AI compute, power use, and construction timelines.
Files: 5 · 1,597 rows
- AI models
Our public database, the largest of its kind, tracks over 3700 machine learning models from 1950 to today. Explore data and graphs showing the trajectory of AI.
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- AI use in research
Our estimates of the share of papers acknowledging large language model use in physics, biology, statistics, and math.
Files: 3 · 59,164 rows
- AI use in math research
Our estimates of the number and types of AI use acknowledgments in math research papers submitted to arXiv, obtained by having AI models analyze the full text of preprints that mention AI.
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- Frontier Lab Hiring
Daily archive of Anthropic's and OpenAI's job postings.
Files: 4 · 26,133 rows
- GPU clusters
Our database of over 500 GPU clusters and supercomputers tracks large hardware facilities, including those used for AI training and inference.
Files: 1 · 474 rows
- machine learning hardware
We present key data on over 180 AI accelerators, such as graphics processing units (GPUs) and tensor processing units (TPUs), used to develop and deploy machine learning models in the deep learning era.
Files: 1 · 183 rows
- Polling on AI usage
Tracking how Americans use and feel about AI, at home and at work, across demographics.
Files: 1 · 1,295 rows