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SUMMARY:Portable AI software with PyTorch and Lightning - Karl Harrison - 
 Dawn/RCS\, University of Cambridge
DTSTART:20251030T130000Z
DTEND:20251030T140000Z
UID:TALK234394@talks.cam.ac.uk
CONTACT:Jack Atkinson
DESCRIPTION:The United Kingdom’s AI Research Resource (AIRR) currently c
 onsists of two supercomputers: Dawn\, with Intel GPUs\, at the University 
 of Cambridge\; Isambard-AI\, with NVIDIA GPUs\, at the University of Brist
 ol.  Future additions to AIRR may have GPUs from other manufacturers\, or 
 may have alternative acceleration devices.  For researchers aiming to run 
 AI software that they develop themselves\, it can be useful to be able to 
 perform development and testing on a local machine\, and to be able to run
  exactly the same software on any AIRR system\, taking advantage of the GP
 Us available\, also across multiple nodes\, with data and models distribut
 ed as needed.\n\nThis talk will review device selection and processing str
 ategies in AI workflows\, will outline how different devices and strategie
 s can be handled explicitly in PyTorch code\, and will show how devices an
 d strategies supported by PyTorch can be handled implicitly with Lightning
 .  There will be a demonstration of how the same Lightning-based AI applic
 ation can be run on a laptop\, on Dawn\, and on Isambard-AI.
LOCATION:Room D\, West Hub
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