AI models
Text2Protein
Training compute
5.5×10¹⁹ FLOP
Published
Sep 13, 2024
Text2Protein is an AI model developed by University of California San Diego and Brown University (United States), first published in September 2024. It works in the biology domain, on tasks such as protein design.
Training it took an estimated 5.5×10¹⁹ FLOP of compute (estimation method: hardware). Training ran on NVIDIA GeForce RTX 3090 for about 240 hours.
Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of California San Diego, Brown University
- Country of organization
- United States
- Domain
- Biology
- Task
- Protein design
- Training compute
- 5.5×10¹⁹ FLOP
- Compute estimation method
- Hardware
- Training hardware
- NVIDIA GeForce RTX 3090
- Training time
- 240 h
- 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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