AI models
FlexSBDD
Training compute
1.6×10¹⁹ FLOP
Published
Sep 29, 2024
FlexSBDD is an AI model developed by University of Science and Technology of China (USTC), State Key Laboratory of Cognitive Intelligence and Princeton University (China and United States), first published in September 2024. It works in the biology domain, on tasks such as drug discovery.
Training it took an estimated 1.6×10¹⁹ FLOP of compute (estimation method: hardware). It was trained on roughly 3.7B datapoints. Training ran on 1 NVIDIA A100 for about 36 hours.
Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Science and Technology of China (USTC), State Key Laboratory of Cognitive Intelligence, Princeton University
- Country of organization
- China, United States
- Domain
- Biology
- Task
- Drug discovery
- Training compute
- 1.6×10¹⁹ FLOP
- Compute estimation method
- Hardware
- Dataset size
- 3.7B
- Training hardware
- NVIDIA A100
- Chips used
- 1
- Training time
- 36 h
- Training power draw
- 433 W
- 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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