LUMI Supercomputer Provides GPU-computing for GeoAI Projects

The LUMI supercomputer provides a powerful high-performance computing platform that enables large-scale GeoAI applications requiring intensive processing of heterogeneous geospatial data such as satellite imagery, LiDAR, and climate datasets. Its GPU-accelerated architecture supports efficient training and deployment of advanced deep learning models, including convolutional neural networks and transformer-based approaches, significantly reducing computational time and enabling distributed learning at scale. Complemented by extensive storage, the LUMI AI Factory, and emerging Dataset-as-a-Service solutions, the system lowers barriers to adopting HPC for GeoAI workflows. Real-world applications, ranging from digital twins of the Earth to biodiversity modelling, forestry analysis, urban systems, and industrial use cases, demonstrate its impact across academia and industry. Overall, LUMI plays a central role in advancing scalable, accessible, and environmentally responsible GeoAI innovation in Europe. Importantly, access to LUMI is free of charge for academic researchers, public administration, and companies from EU through competitive allocation mechanisms.