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University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK
University of Manchester used NVIDIA Earth‑2 CorrDiff and StormCast generative models to downscale UK‑wide air‑pollution simulations. Training on the Isambard‑AI supercomputer (5,448 GH200 chips, 21 EFLOPS) took two days on an eight‑GPU node, producing a 2‑3 km resolution model. Inference runs on a desktop‑class DGX Spark, enabling rapid scenario forecasting and potential real‑time health alerts.…
Nvidianvidia.com4 min
