AI models
trRosetta
Training compute
3.8×10¹⁹ FLOP
Published
Aug 22, 2019
trRosetta is an AI model developed by Nankai University, University of Washington, Tianjin University and Harvard University (China and United States), first published in August 2019. It works in the biology domain, on tasks such as protein folding prediction.
Training it took an estimated 3.8×10¹⁹ FLOP of compute (estimation method: hardware). Training ran on 1 NVIDIA TITAN RTX for about 1.1K hours.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Nankai University, University of Washington, Tianjin University, Harvard University
- Country of organization
- China, United States
- Domain
- Biology
- Task
- Protein folding prediction
- Training compute
- 3.8×10¹⁹ FLOP
- Compute estimation method
- Hardware
- Training hardware
- NVIDIA TITAN RTX
- Chips used
- 1
- Training time
- 1,080 h
- Training power draw
- 316 W
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- 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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