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DTSTART;TZID=America/Chicago:20251120T140000
DTEND;TZID=America/Chicago:20251120T143000
UID:submissions.supercomputing.org_SC25_sess492_exforum171@linklings.com
SUMMARY:HPC Meets Hyperscale AI
DESCRIPTION:Glenn Lockwood (VAST Data)\n\nSupercomputing is hitting practi
 cal limits in power, cooling, and scale. Even hyperscale AI datacenters—of
 ten advertised as single, hundred-megawatt systems—are actually composed o
 f multiple tightly coupled data centers. As a result, both the HPC and AI 
 communities are increasingly focused on orchestrating complex, distributed
  workflows that span compute clusters, data systems, and edge facilities. 
 While the workflows of HPC and hyperscale AI differ in implementation, the
 y share many common demands on compute, data, and service infrastructure. 
 Drawing on VAST Data’s work with leading HPC centers and AI providers, thi
 s talk explores concrete examples of how complex workflows are implemented
  in both domains. We will present key similarities between them, examine h
 ow hyperscale AI has built upon HPC-driven innovations, and suggest ways H
 PC can adjust its approach to complex workflows to leverage infrastructure
  advances from the AI ecosystem.\n\nTag: Exascale\n\nRecording: Livestream
 ed, Recorded\n\nRegistration Category: Technical Program Reg Pass, Exhibit
 s Reg Pass\n\nSession Chair: Jay Lofstead (Sandia National Laboratories, U
 niversity of New Mexico)\n\n
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