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cs.DC2026
An Engineering Journey Training Large Language Models at Scale on Alps: The Apertus Experience
Jonathan Coles, Stefano Schuppli, Lukas Drescher +20
Large Language Models (LLMs) have surged as a transformative technology for science and society, prompting governments worldwide to pursue sovereign AI capabilities that ensure dat…
cs.DC2026
Beyond Pre-Training: The Full Lifecycle of Foundation Models on HPC Systems
Dino Conciatore, Elia Oggian, Federico Da Forno +4
Large-scale pre-training of Foundational Models (FM) constitutes a computationally intensive first phase for enabling AI across diverse scientific and societal applications. This f…