AI models
PoET
Training compute
2.3×10²⁰ FLOP
Parameters
57M
Published
Jun 9, 2023
PoET is an AI model developed by OpenProtein.ai (Singapore), first published in June 2023. It works in the biology domain, on tasks such as protein generation and protein or nucleotide language model (plm/nlm).
Training it took an estimated 2.3×10²⁰ FLOP of compute (estimation method: hardware). The model has 57,000,000 parameters. Training ran on 7 NVIDIA A100 for about 72 hours.
The reference paper has 83 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- OpenProtein.ai
- Country of organization
- Singapore
- Domain
- Biology
- Task
- Protein generation, Protein or nucleotide language model (pLM/nLM)
- Training compute
- 2.3×10²⁰ FLOP
- Compute estimation method
- Hardware
- Parameters
- 57,000,000
- Training hardware
- NVIDIA A100
- Chips used
- 7
- Training time
- 72 h
- Training power draw
- 5.6 kW
- Citations
- 83
- Epoch confidence
- Confident
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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