BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//scipy-2026//talk//ZZYN3X
BEGIN:VTIMEZONE
TZID:CST
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10;UNTIL=20061029T080000Z
TZNAME:CST
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
END:STANDARD
BEGIN:STANDARD
DTSTART:20071104T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000402T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4;UNTIL=20060402T090000Z
TZNAME:CDT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
END:DAYLIGHT
BEGIN:DAYLIGHT
DTSTART:20070311T030000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-scipy-2026-ZZYN3X@pretalx.com
DTSTART;TZID=CST:20260715T160500
DTEND;TZID=CST:20260715T163500
DESCRIPTION:Artificial Intelligence (AI) is reshaping meteorological scienc
 e across two distinct frontiers. On one end\, foundation-scale generative 
 models\, large-scale distributed training\, and massive ensembles push the
  limits of high-performance computing and big-data orchestration. On the o
 ther\, a "democratized edge" is emerging\, where lightweight\, heterogeneo
 us inference workflows broaden access for experimentation. This dual expan
 sion introduces a new class of software challenges spanning distributed tr
 aining\, ensemble-scale orchestration\, and efficient\, flexible inference
  pipelines.\n\nThis talk will introduce Earth2Studio and PhysicsNeMo from 
 NVIDIA\, two software packages designed to enable and scale AI weather for
 ecasting. By exploring their architectures\, we will discuss the broader d
 evelopment journey of building AI-driven meteorological tools and share ke
 y lessons learned in managing the intersection of high-performance computi
 ng\, data science and operational reliability.
DTSTAMP:20260715T022718Z
LOCATION:Thomas Swain Room
SUMMARY:Navigating the Storm: Software Orchestration and Pipelines for AI-D
 riven Weather Forecasting - Nicholas Geneva
URL:https://pretalx.com/scipy-2026/talk/ZZYN3X/
END:VEVENT
END:VCALENDAR
