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UID:submissions.supercomputing.org_SC24_sess677_exforum117@linklings.com
SUMMARY:Optimizing HPC for AI: Essential Architectural Insights
DESCRIPTION:Bruno Lecointe and Cédric Bourrasset (Atos, Eviden)\n\nEarly a
 dopters of AI, particularly in large language model (LLM) applications, ar
 e transforming industries like pharmaceuticals and high-performance comput
 ing (HPC). This session will explore key considerations for integrating AI
  with HPC, focusing on both hardware and software optimization. \n\nWe’ll 
 discuss specialized hardware setups, such as GPUs and TPUs, which are esse
 ntial for managing AI workloads, including thermal management strategies d
 emonstrated by Europe’s first Exascale system, JUPITER. On the software si
 de, we’ll cover the importance of tailored AI models and efficient resourc
 e management. \n\nFinally, we'll present a case study from the European Ce
 ntre for Medium-Range Weather Forecasts (ECMWF), showcasing how AI-driven 
 optimization of their Tripleclouds model improved performance and accuracy
 . Featuring expert speakers and interactive polling, the session will prov
 ide practical strategies and real-world examples from leading projects in 
 the HPC-AI arena. Participants will also have access to a downloadable whi
 te paper and customer case study.\n\nTag: Architecture, Artificial Intelli
 gence/Machine Learning\n\nRegistration Category: Tech Program Reg Pass, Ex
 hibits Reg Pass\n\nSession Chair: Ben Bergen (Los Alamos National Laborato
 ry (LANL), Applied Computer Science Group)\n\n
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