AI models
Surya
Training compute
2.9×10²¹ FLOP
Parameters
366M
Published
Aug 20, 2025
Surya is an AI model developed by NASA, University of Alabama and IBM Research (United States), first published in August 2025. It works in the earth science domain, on tasks such as heliophysics and weather forecasting.
Training it took an estimated 2.9×10²¹ FLOP of compute (estimation method: operation counting). The model has 366,000,000 parameters. Training ran on 128 NVIDIA A100.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- NASA, University of Alabama, IBM Research
- Country of organization
- United States
- Domain
- Earth science
- Task
- Heliophysics, Weather forecasting
- Training compute
- 2.9×10²¹ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 366,000,000
- Training hardware
- NVIDIA A100
- Chips used
- 128
- Training power draw
- 100.1 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- 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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