AI models
SS-pLM
Training compute
2.3×10¹⁹ FLOP
Parameters
14.8M
Published
Aug 6, 2023
SS-pLM is an AI model developed by Nostrum Biodiscovery, Barcelona Supercomputing Center and Institucio Catalana de Recerca i Estudis Avancçats (Spain), first published in August 2023. It works in the biology domain, on tasks such as protein or nucleotide language model (plm/nlm).
Training it took an estimated 2.3×10¹⁹ FLOP of compute (estimation method: hardware). The model has 14,800,000 parameters. Training ran on 4 NVIDIA A30 PCIe for about 24 hours.
The reference paper has 5 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Nostrum Biodiscovery, Barcelona Supercomputing Center, Institucio Catalana de Recerca i Estudis Avancçats
- Country of organization
- Spain
- Domain
- Biology
- Task
- Protein or nucleotide language model (pLM/nLM)
- Training compute
- 2.3×10¹⁹ FLOP
- Compute estimation method
- Hardware
- Parameters
- 14,800,000
- Training hardware
- NVIDIA A30 PCIe
- Chips used
- 4
- Training time
- 24 h
- Training power draw
- 1.3 kW
- Citations
- 5
- 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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