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SUMMARY:Foundations of LLM Mastery: Fine-tuning on multi GPUs
DTSTART:20250911T070000Z
DTEND:20250911T103000Z
DTSTAMP:20260718T180600Z
UID:indico-event-204@events.asc.ac.at
CONTACT:training@asc.ac.at
DESCRIPTION:Start date:  11 Sept 2025\, 09:00 (CEST)     Entry level: 
  IntermediateEnd date:  11 Sept 2025\, 12:30 (CEST)   Subject area:  
 Artificial IntelligenceLocation:  ONLINE (Zoom)     Topics:  Large La
 nguage ModelsLanguage:  English     Target audience:  Industry\, publ
 ic sector\, academiaPrice:  Free (for eligible participants)     Organ
 izers:  ASC & EuroCC Austria & AI:ATScaling fine-tuning of large language
  models (LLMs) to multiple GPUs can unlock new levels of performance and e
 fficiency\, making it accessible for industries of all sizes.In this 3.5-h
 our course\, participants from start-ups\, SMEs\, and large enterprises wi
 ll gain hands-on experience with powerful multi-GPU fine-tuning techniques
 \, optimizing their LLM workflows for both speed and scalability.Key topic
 s include:Distributed Data Parallel (DDP): Efficiently distribute data and
  model updates across multiple GPUs.ZeRO with DeepSpeed: Scale large model
 s while managing memory effectively.Fully Sharded Data Parallel (FSDP): Ye
 t another technique to reduce memory usage by sharding.Hugging Face Accele
 rate: Simplify multi-GPU training with intuitive tools and configurations.
 Through guided exercises and real-world examples\, this course provides pa
 rticipants with the skills to fine-tune LLMs efficiently across multiple G
 PUs\, preparing them to tackle complex\, large-scale projects.By the end o
 f this course\, participants will have developed a foundational understand
 ing of techniques to distribute model parameters and states accross GPUs o
 n several nodes.Agenda & ContentFor a detailed timetable and additional in
 formation\, please see Agenda & Content in the left menu.Entry levelInterm
 ediatePrerequisitesBasic programming skills in Python.          
             Having worked with Pytorch would be beneficial.Tar
 get audienceCourse for academia\, industry\, and public administration.Cou
 rse formatThis course will be delivered as a LIVE ONLINE COURSE (using Zoo
 m).Hands-on labsAll participants will get a temporary user account on LEON
 ARDO to do the hands-on labs.You will use your own laptop or workstation t
 o connect conveniently from your browser to a LEONARDO Jupyterlab session 
 and do the hands-on exercises.LecturersSimeon Harrison (INiTS and EuroCC A
 ustria)Martin Pfister (ACA – Advanced Computing Austria GmbH and EuroCC 
 Austria)LanguageEnglishDate\, time\, and location11.09.2025\, 09:00 – 12
 :30 CEST\, LIVE ONLINE COURSE (using Zoom)Prices and eligibilityThis cours
 e is partly funded by the EuroCC 2 project. Therefore\, the course is open
  and free of charge for participants from academia\, industry\, and public
  administration from the Member States (MS) of the European Union (EU) and
  Associated/Other Countries to the Horizon 2020 programme.RegistrationThe 
 registration form and deadlines are available from the left menu. The regi
 stration form might close even before the deadline if the number of regist
 rations has reached its maximum (and will open again if there are cancelat
 ions).Please register with your official email address to prove your affil
 iation.You will get an automatic confirmation via email (subject starting 
 with "[Indico] Registration")\, please check your Spam/Junk folders.Follow
 ing your successful registration\, you will receive further information ap
 proximately 1 week before the course.WaitinglistAfter the number of regist
 rations has reached its maximum or the registration form has been closed\,
  you may want to send us an email stating that you are interested to be pu
 t on the waiting list (vacancies may occur due to cancelations\, etc.).To 
 be able to do the hands-on labs on the ASC please provide your full intern
 ational mobile-phone number for the two-factor authentication required to 
 login to the ASC systems.Modification\, withdrawal & no-show policyYour re
 gistration is binding. Please only register for the course if you are real
 ly going to attend.You can update your registration data or withdraw your 
 registration anytime before the registration form has been closed via the 
 link "Manage my registration" which you can find at the bottom of your aut
 omatic email confirmation (subject starting with "[Indico] Registration").
 Alternatively\, or after the registration form has been closed\, please in
 form us about your cancelation or any change in your registration data (es
 pecially your mobile-phone number) via email (training@asc.ac.at).No-show 
 policy: If you do not cancel and do not show up at the course you will be 
 blacklisted and excluded from future training events.Organizers      
           This course is jointly organized by the ASC Research Cent
 er\, TU Wien\, EuroCC Austria\, and AI:AT.AcknowledgementsThis course is p
 artially funded by the EuroCC 2 project.The project has received funding f
 rom the European High-Performance Computing Joint Undertaking (JU) under g
 rant agreement No 101101903. The JU receives support from the Digital Euro
 pe Programme and Austria\, Belgium\, Bulgaria\, Croatia\, Cyprus\, Czech R
 epublic\, Denmark\, Estonia\, Finland\, France\, Germany\, Greece\, Hungar
 y\, Iceland\, Ireland\, Italy\, Latvia\, Lithuania\, Luxembourg\, Monteneg
 ro\, Netherlands\, North Macedonia\, Norway\, Poland\, Portugal\, Romania\
 , Serbia\, Slovakia\, Slovenia\, Spain\, Sweden\, and Türkiye. Additiona
 l funding for the project comes from the Austrian federal ministries BMBWF
  and BMK.\n\nhttps://events.asc.ac.at/event/204/
URL:https://events.asc.ac.at/event/204/
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