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BEGIN:VEVENT
DTSTAMP:20260202T201805Z
LOCATION:240-241-242
DTSTART;TZID=America/Chicago:20251118T133000
DTEND;TZID=America/Chicago:20251118T150000
UID:submissions.supercomputing.org_SC25_sess344_pan102@linklings.com
SUMMARY:Large-Scale and High-Density AI and HPC: Sustainability Challenges
DESCRIPTION:Dan Reed (University of Utah); David Patterson (Google LLC); N
 icolas Dubé (Professional Engineer); Michael Beatty (Nalco Water: An Ecola
 b Company); Ryousei Takano (National Institute of Advanced Industrial Scie
 nce and Technology (AIST), Japan); and Christine Kirkpatrick (San Diego Su
 percomputer Center (SDSC))\n\nToday's AI supercomputers push power boundar
 ies, often exceeding 200MW, far beyond traditional HPC. While HPC has pion
 eered operational efficiency for large-scale workloads, AI's explosive gro
 wth now accelerates innovations like photonics and small modular reactors 
 (SMRs). This panel will discuss the profound impact of these high-density 
 AI/HPC supercomputers on energy, CO2 emissions, and water usage. We'll exp
 lore AI's carbon footprint (currently 1.2%–1.5% of global electricity), th
 e shift toward co-located energy generation, and water-efficient cooling s
 trategies. Crucially, we'll examine AI as an HPC workload, the 100x greate
 r AI hardware investment, and evolving benchmarking like "tokens per kilow
 att-hour." The discussion will highlight changing roles for HPC in an AI-d
 riven future, emphasizing collaboration and leveraging HPC expertise for s
 ustainable, scalable AI growth.\n\nTag: AI, Machine Learning, & Deep Learn
 ing, Power Use Monitoring & Optimization, SC Community Hot Topics\n\nRecor
 ding: Livestreamed, Recorded\n\nRegistration Category: Technical Program R
 eg Pass\n\nSession Chair: Daniel A. Reed (University of Utah)\n\n
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