AI models
SSA
Training compute
1.3×10¹⁹ FLOP
Published
Feb 22, 2019
SSA is an AI model developed by Massachusetts Institute of Technology (MIT) (United States), first published in February 2019. It works in the biology domain, on tasks such as protein embedding.
Training it took an estimated 1.3×10¹⁹ FLOP of compute (estimation method: hardware). Training ran on 1 NVIDIA V100 for about 72 hours.
The reference paper has 344 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Massachusetts Institute of Technology (MIT)
- Country of organization
- United States
- Domain
- Biology
- Task
- Protein embedding
- Training compute
- 1.3×10¹⁹ FLOP
- Compute estimation method
- Hardware
- Training hardware
- NVIDIA V100
- Chips used
- 1
- Training time
- 72 h
- Training power draw
- 340 W
- Citations
- 344
- Epoch confidence
- Confident
More from Massachusetts Institute of Technology (MIT)
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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