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DTSTAMP:20260202T201809Z
LOCATION:America's Ballroom Tu-Th
DTSTART;TZID=America/Chicago:20251120T111500
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UID:submissions.supercomputing.org_SC25_sess386_inv108@linklings.com
SUMMARY:Pixels, Petabytes, and Predictions: The Supercomputing Demands of 
 Modern Geospatial AI and How St. Louis Is the Center of Gravity
DESCRIPTION:Mark Munsell (GeoFuturesSTL)\n\nThe proliferation of geospatia
 l artificial intelligence (GeoAI) is generating unprecedented demands on h
 igh performance computing infrastructure. Training foundational Earth obse
 rvation (EO) models on petabytes of satellite imagery, running inference a
 cross multi-modal global geospatial models, and generating global vector d
 atasets like agricultural field boundaries and building footprints all req
 uire computational strategies at a massive scale. \n\nThese complex tasks,
  which are fundamental to both commercial industries and national security
 , push the boundaries of modern supercomputing, demanding novel approaches
  to data management, model parallelism, and distributed inference pipeline
 s that can handle the sheer volume and velocity of geospatial data. \n\nSt
 . Louis has emerged as a critical epicenter for this technological converg
 ence, fostering a unique ecosystem where GeoAI innovations are cross-polli
 nating between disparate domains. This presentation will highlight the reg
 ion's synergistic environment, where cutting-edge techniques developed for
  precision agriculture directly inform vital applications in national secu
 rity, and vice versa. We will explore specific case studies that demonstra
 te how this local cross-fertilization is accelerating the development of n
 ext-generation geospatial capabilities and cementing St. Louis's role as a
  global leader in solving planetary-scale challenges through supercomputin
 g.\n\nTag: AI, Machine Learning, & Deep Learning, Artificial Intelligence 
 & Machine Learning, Big Data\n\nRecording: Livestreamed, Recorded\n\nRegis
 tration Category: Technical Program Reg Pass\n\nSession Chair: Miwako Tsuj
 i (University of Tsukuba, RIKEN Center for Computational Science (R-CCS))\
 n\n
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