AI models
PepPrCLIP
Training compute
10¹⁸ FLOP
Published
Jul 22, 2024
PepPrCLIP is an AI model developed by Duke University, Cornell University and Sanford Burnham Prebys Institute (United States), first published in July 2024. It works in the biology domain, on tasks such as protein design.
Training it took an estimated 10¹⁸ FLOP of compute (estimation method: hardware). Training ran on 1 NVIDIA A100 SXM4 80 GB.
Access: Open weights (non-commercial). Its weights are openly available. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- Duke University, Cornell University, Sanford Burnham Prebys Institute
- Country of organization
- United States
- Domain
- Biology
- Task
- Protein design
- Training compute
- 10¹⁸ FLOP
- Compute estimation method
- Hardware
- Training hardware
- NVIDIA A100 SXM4 80 GB
- Chips used
- 1
- Training power draw
- 434 W
- Model accessibility
- Open weights (non-commercial)
- Open weights
- Yes
- Epoch confidence
- Speculative
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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