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Researchers from the University of Manchester, in collaboration with the NVIDIA Earth-2 team, have developed a model for predicting air pollution across the United Kingdom at a resolution of between two and three kilometers. The model was trained over two days on the Isambard-AI supercomputer and can be run for inference and smaller training tasks on the desktop DGX Spark system.
The University of Bristol’s Isambard-AI supercomputer, powered by NVIDIA Grace Hopper chips, has entered service with a capacity of 21 exaflops for AI workloads. The system aims to accelerate research into drugs, climate, materials and language models, with access provided according to UK national priorities.