AI models
Libratus
Training compute
5.5×10²⁰ FLOP
Published
Aug 19, 2017
Libratus is an AI model developed by Carnegie Mellon University (CMU) (United States), first published in August 2017. It works in the games domain, on tasks such as poker.
Training it took an estimated 5.5×10²⁰ FLOP of compute (estimation method: hardware).
Access: Unreleased. Its weights are not openly released. The reference paper has 104 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Carnegie Mellon University (CMU)
- Country of organization
- United States
- Domain
- Games
- Task
- Poker
- Training compute
- 5.5×10²⁰ FLOP
- Compute estimation method
- Hardware
- Chip-hours
- 857K
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 104
- Epoch confidence
- Likely
More from Carnegie Mellon University (CMU)
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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