AI models
scHyena
Training compute
8.6×10¹⁸ FLOP
Published
Oct 4, 2024
scHyena is an AI model developed by Korea Advanced Institute of Science and Technology (KAIST) (South Korea), first published in October 2024. It works in the biology domain, on tasks such as protein or nucleotide language model (plm/nlm).
Training it took an estimated 8.6×10¹⁸ FLOP of compute (estimation method: hardware). Training ran on 2 NVIDIA GeForce RTX 3090.
The reference paper has 12 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Korea Advanced Institute of Science and Technology (KAIST)
- Country of organization
- South Korea
- Domain
- Biology
- Task
- Protein or nucleotide language model (pLM/nLM)
- Training compute
- 8.6×10¹⁸ FLOP
- Compute estimation method
- Hardware
- Training hardware
- NVIDIA GeForce RTX 3090
- Chips used
- 2
- Training power draw
- 1.4 kW
- Citations
- 12
- Epoch confidence
- Confident
More from Korea Advanced Institute of Science and Technology (KAIST)
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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