State of AI Report Compute Index
The State of AI Report Compute Index tracks the size of public, private and national HPC clusters, as well as the utilisation of various AI chips in AI research papers. As a key substrate upon which AI models are trained and run, the size of compute clusters and the popularity of specific chips helps us take a temperature check on the rate of progress of AI systems.
A100 GPU Count Last update: 27 March 2023
Notes: Public Cloud = capacity rented from hyperscalers; Private Cloud = owned and run by the company; National HPC = government owned and run
Cited chip usage in AI papers Last update: 4 December 2022
Notes: This figure presents the number of open source AI papers that cite the use of specific AI chips according to analysis by Zeta Alpha. The 2022 figure represents the annual sum extrapolated from 4 Dec 2022
Cited NVIDIA usage in AI papers Last update: 4 December 2022
Notes: This figure presents the number of open source AI papers that cite the use of specific NVIDIA chips according to analysis by Zeta Alpha. The 2022 figure represents the annual sum extrapolated from 4 Dec 2022
Cited AI chip startup usage in AI papers Last update: 4 December 2022
Notes: This figure presents the number of open source AI papers that cite the use of specific AI chip startups according to analysis by Zeta Alpha. The 2022 figure represents the annual sum extrapolated from 4 Dec 2022
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