ECMWF's AI forecasting model is open source: now let's make it easy to run.

ECMWF's AI weather forecasting model, AIFS, has been open-sourced to enhance accessibility and efficiency, requiring approximately 1,000 times less energy than traditional physics-based models. While the model, which uses a graph neural network and sliding-window transformer processor trained on ECMWF's Copernicus ERA5 reanalysis data, is available on Hugging Face, running it typically demands specific high-end GPUs. To address this limitation, a compatibility patch was developed, allowing the model to be executed on any hardware, including CPUs, using Hugging Face Jobs or local setups. The AIFS Single 2.0 model provides deterministic forecasts and, along with the AIFS ENS ensemble model, plays a significant role in operational weather prediction, offering practical applications in research, application development, and education. The tutorial and live demo facilitate ease of use by guiding users through setting up and running forecasts, thereby broadening the model's reach and utility for diverse user groups.

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