AI models
WDC20 / DLWP
Training compute
2.4×10¹⁸ FLOP
Parameters
672.1K
Published
Mar 15, 2020
WDC20 / DLWP is an AI model developed by University of Washington and Microsoft Research (United States), first published in March 2020. It works in the earth science domain, on tasks such as weather forecasting.
Training it took an estimated 2.4×10¹⁸ FLOP of compute (estimation method: hardware). The model has 672,080 parameters. Training ran on 1 NVIDIA Tesla V100 DGXS 32 GB for about 72 hours.
Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Washington, Microsoft Research
- Country of organization
- United States
- Domain
- Earth science
- Task
- Weather forecasting
- Training compute
- 2.4×10¹⁸ FLOP
- Compute estimation method
- Hardware
- Parameters
- 672,080
- Training hardware
- NVIDIA Tesla V100 DGXS 32 GB
- Chips used
- 1
- Training time
- 72 h
- Training power draw
- 281 W
- Model accessibility
- Unreleased
- Open weights
- No
- Epoch confidence
- Confident
More from University of Washington,Microsoft Research
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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