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Supported projects

Supported projects

The EPICURE project supports a diverse range of initiatives, addressing support requests, e.g., from GPU and node optimization to code porting and performance benchmarking. Each project brings unique challenges and goals, and EPICURE provides the expertise and resources to help them succeed. On this page, you’ll find a selection of supported projects, showcasing EPICURE contribution.

RAHMAN

The project investigates Rahman syndrome mutations, with EPICURE boosting scaling and efficiency.

Scaling Deep Neural Networks for Public Safety: Fire, Flood etc. with HPC

The project scales deep learning for hazard detection on EuroHPC, with EPICURE optimizing memory and training.

Enhancing AI training efficiency and scalability to train EU institutional LLMs for the public sector

DG Translation builds EU-focused LLMs using HPC and EPICURE support for efficient, multilingual AI aligned with EU value

Large-Eddy Simulations of Supersonic Air Intakes

The project optimizes supersonic air intake design to prevent flow instabilities and boost performance.

AtmoRep: Large Scale Representation Learning of Atmospheric Dynamics

AtmoRep is the first prototype of a probabilistic foundation model for weather and climate predictions.