AI models
ProSST
Training compute
6.5×10²⁰ FLOP
Parameters
110M
Published
May 17, 2024
ProSST is an AI model developed by Shanghai Jiao Tong University, Shanghai AI Lab and East China University of Science and Technology (China), first published in May 2024. It works in the biology domain, on tasks such as protein or nucleotide language model (plm/nlm).
Training it took an estimated 6.5×10²⁰ FLOP of compute (estimation method: hardware). The model has 110,000,000 parameters. Training ran on 8 NVIDIA A800 PCIe 40 GB for about 720 hours.
The reference paper has 57 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Shanghai Jiao Tong University, Shanghai AI Lab, East China University of Science and Technology
- Country of organization
- China
- Domain
- Biology
- Task
- Protein or nucleotide language model (pLM/nLM)
- Training compute
- 6.5×10²⁰ FLOP
- Compute estimation method
- Hardware
- Parameters
- 110,000,000
- Training hardware
- NVIDIA A800 PCIe 40 GB
- Chips used
- 8
- Training time
- 720 h
- Training power draw
- 4.0 kW
- Citations
- 57
- 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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