AI models
SaProt
Training compute
6.2×10²² FLOP
Parameters
650M
Published
Apr 19, 2024
SaProt is an AI model developed by Zhejiang University (ZJU) and Westlake University (China), first published in April 2024. It works in the biology domain, on tasks such as protein or nucleotide language model (plm/nlm).
Training it took an estimated 6.2×10²² FLOP of compute (estimation method: hardware). The model has 650,000,000 parameters. Training ran on 64 NVIDIA A100 for about 2.2K hours.
The reference paper has 229 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Zhejiang University (ZJU), Westlake University
- Country of organization
- China
- Domain
- Biology
- Task
- Protein or nucleotide language model (pLM/nLM)
- Training compute
- 6.2×10²² FLOP
- Compute estimation method
- Hardware
- Parameters
- 650,000,000
- Training hardware
- NVIDIA A100
- Chips used
- 64
- Training time
- 2,160 h
- Training power draw
- 50.6 kW
- Citations
- 229
- Epoch confidence
- Confident
More from Zhejiang University (ZJU),Westlake University
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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