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DTSTART;TZID=America/Denver:20231112T095000
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UID:submissions.supercomputing.org_SC23_sess414_ws_hust112@linklings.com
SUMMARY:Centralized Provisioning of Large Language Models for a Research C
 ommunity
DESCRIPTION:Dhruvil Shah, Gil Speyer, and Jason Yalim (Arizona State Unive
 rsity)\n\nLocal support for large language models (LLMs) in a research com
 munity can address unique technological and procedural challenges that ari
 se in an academic setting.  Platforms providing multi-GPU nodes, typically
  found in a centralized computational resource, such as a university datac
 enter, can manage the large memory footprint of the open-source LLMs.  Cus
 tomizations employing peripheral frameworks help extend the capabilities o
 f these models. Further, the local implementation addresses the protection
  of researcher IP and control of restricted data sources.  This report des
 cribes recent efforts toward provisioning this popular new tool and provid
 es guidance for recreating our approach at Arizona State University.\n\nTa
 g: Programming Frameworks and System Software\n\nRegistration Category: Wo
 rkshop Reg Pass\n\nSession Chairs: Chris Bording (University of Western Au
 stralia); Elsa J. Gonsiorowski (Lawrence Livermore National Laboratory (LL
 NL)); Lev Gorenstein (Globus, University of Chicago); and Karen Tomko (Ohi
 o Supercomputer Center)\n\n
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