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This contract highlights the critical role of specialized supercomputing infrastructure in enabling advanced AI models for high-stakes climate forecasting. By modernizing hardware to support new machine learning applications, Bull is directly addressing the computational demands required to improve weather prediction accuracy amidst changing climate patterns. The project underscores how dedicated HPC environments are becoming essential for integrating AI into national-scale environmental monitoring systems.
Bull Selected to Modernize Spain’s National Weather Forecasting Infrastructure

Insider Brief PRESS RELEASE — Bull, a leader in advanced computing and AI, announced a €31 million contract with the Spanish State Meteorological Agency (AEMET) to deliver a new supercomputing infrastructure that will support faster and more accurate weather, climate and environmental forecasting services in Spain. The four-year project marks a new chapter in a […]
Bull secured a €31 million contract to modernize AEMET’s supercomputing infrastructure for weather, climate and environmental forecasting in Spain. The four-year project will deploy hardware, software and 24/7 monitoring across two sites in the Madrid area. The infrastructure is expected to increase computing performance by 10% while…
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