AI models
DARK
Training compute
9.7×10¹⁸ FLOP
Published
Jan 28, 2022
DARK is an AI model developed by University College London (UCL) (United Kingdom), first published in January 2022. It works in the biology domain, on tasks such as protein generation and proteins.
Training it took an estimated 9.7×10¹⁸ FLOP of compute (estimation method: hardware). It was trained on roughly 50M datapoints. Training ran on NVIDIA V100.
The reference paper has 29 citations. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- University College London (UCL)
- Country of organization
- United Kingdom
- Domain
- Biology
- Task
- Protein generation, Proteins
- Training compute
- 9.7×10¹⁸ FLOP
- Compute estimation method
- Hardware
- Dataset size
- 50M
- Training hardware
- NVIDIA V100
- Citations
- 29
- Epoch confidence
- Speculative
More from University College London (UCL)
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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