AI models
RNAdiffusion
Training compute
2.5×10¹⁹ FLOP
Published
Sep 15, 2024
RNAdiffusion is an AI model developed by Princeton University, Tsinghua University and Stanford University (United States and China), first published in September 2024. It works in the biology domain, on tasks such as rna sequence generation.
Training it took an estimated 2.5×10¹⁹ FLOP of compute (estimation method: hardware). Training ran on 1 NVIDIA H100 PCIe,NVIDIA A100 for about 34.5 hours.
It is built on top of RNA-FM. The reference paper has 9 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Princeton University, Tsinghua University, Stanford University
- Country of organization
- United States, China
- Domain
- Biology
- Task
- RNA sequence generation
- Training compute
- 2.5×10¹⁹ FLOP
- Compute estimation method
- Hardware
- Training hardware
- NVIDIA H100 PCIe, NVIDIA A100
- Chips used
- 1
- Training time
- 35 h
- Base model
- RNA-FM
- Citations
- 9
- Epoch confidence
- Likely
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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