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AINVIDIA Earth-2 represents a major shift in how weather and climate forecasting systems are designed and deployed. Instead of relying solely on expensive physics-based supercomputers, Earth-2 introduces a fully open, accelerated AI software stack that covers the entire forecasting pipeline — from raw satellite and sensor data ingestion to global medium-range forecasts, regional downscaling, and real-time storm nowcasting. By combining specialized AI models such as FourCastNet3 for global forecasting, CorrDiff for high-resolution downscaling, Atlas for medium-range prediction, StormScope for hazard nowcasting, and HealDA for data assimilation, Earth-2 mirrors real operational meteorology workflows. This modular approach enables sovereign forecasting, allowing governments, research institutions, and enterprises to run, fine-tune, and deploy weather AI on their own infrastructure while reducing cost, latency, and energy consumption. Early adopters report up to 90% reductions in compute time, highlighting AI’s growing role in climate resilience, disaster preparedness, and next-generation Earth system science.
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