AI models
DDPM
Training compute
9×10¹⁷ FLOP
Published
Apr 13, 2024
DDPM is an AI model developed by University Paris-Saclay and Radboud University Medical Center (France and Netherlands), first published in April 2024. It works in the biology domain, on tasks such as gene expression profile generation.
Training it took an estimated 9×10¹⁷ FLOP of compute (estimation method: hardware). It was trained on roughly 9.5M datapoints. Training ran on 1 NVIDIA A40 PCIe.
The reference paper has 4 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University Paris-Saclay, Radboud University Medical Center
- Country of organization
- France, Netherlands
- Domain
- Biology
- Task
- Gene expression profile generation
- Training compute
- 9×10¹⁷ FLOP
- Compute estimation method
- Hardware
- Dataset size
- 9.5M
- Training hardware
- NVIDIA A40 PCIe
- Chips used
- 1
- Training power draw
- 326 W
- Citations
- 4
- Epoch confidence
- Confident
More from University Paris-Saclay,Radboud University Medical Center
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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