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In-person
1-4 April 2025
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Friday April 4, 2025 11:45 - 12:15 BST
CERN is advancing the development of AI-based digital twins in science through projects like interTwin, an EC-funded project to develop a digital twin engine for science. These digital twins rely on HPC resources for training multi-node, multi-GPU models using containerized workflows.
Developing such containers for HPC systems presents unique challenges, including accessing restricted HPC resources and integrating with HPC software stacks, while ensuring the interoperability between different container runtimes.
We introduce a CI/CD workflow that bridges cloud and HPC and enables automated testing of AI/ML containers on the same SLURM-managed clusters where they will be deployed. By integrating Dagger’s reproducible CI runtime with HPC offloading, this approach validates both the software in the containers and their compatibility with HPC environments. This ensures the seamless deployment of AI-based digital twins, addressing the critical need for robust testing in hybrid environments.
Speakers
avatar for Diego Ciangottini

Diego Ciangottini

Technologist, INFN
Diego Ciangottini is a physicist and received his PhD from the University of Perugia, Italy in 2012. Now he's working as technologist at INFN (Italian National Institute for Nuclear Physics) researching cloud-native solutions for the scientific use cases of the institute. In that... Read More →
avatar for Matteo Bunino

Matteo Bunino

Computing Engineer, CERN
Matteo holds a double Master’s degree in Computer Engineering from PoliTO and EURECOM. At CERN, he focuses on AI-based digital twins in science, integrating AI, HPC, and real-time data processing. As part of CERN openlab, he collaborates with industry and academia on R&D projects... Read More →
Friday April 4, 2025 11:45 - 12:15 BST
Level 1 | Hall Entrance S10 | Room B
  Emerging + Advanced

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