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BEGIN:VEVENT
SUMMARY:Uvodna delavnica za uporabo umetne inteligence na superračunalnik
 u HPC Vega  | Introduction to AI on HPC Vega
DTSTART:20260930T075500Z
DTEND:20260930T100000Z
DTSTAMP:20261010T145400Z
UID:indico-event-3966@indico.ijs.si
CONTACT:events@slaif.si
DESCRIPTION:Speakers: Vid Vilec Letonja (IZUM)\, Žiga Zebec (IZUM)\, Teo 
 Prica (IZUM)\, Samo Miklavc (IZUM)\, Dejvid Črešnar (IZUM)\, Darin Lah (
 IZUM)\n\nIzvajalec / Course provider: Institute of Information Sciences (I
 ZUM)\nPredavatelji / Instructors:  Darin Lah (IZUM)\, Žiga Zebec (IZUM)\
 , Teo Prica (IZUM)\, Samo Miklavc (IZUM)\, Dejvid Črešnar (IZUM)\, Samo 
 Lorenčič (IZUM)\nLearning objectives: Give basic information on HPC Vega
  and the new AI. It covers the basics\, from creating SSH keys\, logging i
 nto Vega\, EuroHPC registration in comparison to SLING registration\, basi
 c Linux commands\, and job submission and management. Additionally\, it co
 vers an introduction to Vega's new cloud-like AI/HPC architecture\, built 
 on OpenStack\, for running containerized AI workloads. The event will also
  allow participants to provide information about their AI projects\, along
  with any issues\, challenges\, or questions\, in advance\, enabling our H
 PC and AI-infrastructure expert teams to take a detailed look at their pro
 jects.\nCourse content: The workshop content will be tailored to participa
 nt AI projects\, building on past use cases and established best practices
  for running machine learning and AI workloads on HPC systems\, including 
 efficient GPU job submission\, resource usage\, and common pitfalls. Atten
 tion will be given to Vega's new cloud-like AI/HPC platform\, which combin
 es OpenStack for infrastructure provisioning with Kubernetes for container
  orchestration\, enabling scalable\, reproducible\, and portable AI workfl
 ows alongside traditional Slurm-based batch jobs. Practical guidance will 
 be provided on how to improve\, streamline\, and accelerate AI training\, 
 fine-tuning\, and inference workflows on Vega.\nLearning outcomes: As a re
 sult\, participants will gain a solid foundation for working independently
  on HPC Vega for AI workloads\, a clear understanding of core HPC and clou
 d-native concepts including Slurm\, OpenStack\, and Kubernetes\, and pract
 ical insights into optimizing their AI jobs to improve performance and ove
 rall efficiency in a hybrid HPC/cloud environment.\n\nhttps://indico.ijs.s
 i/event/3966/
IMAGE;VALUE=URI:https://indico.ijs.si/event/3966/logo-3560331715.png
LOCATION:Online
URL:https://indico.ijs.si/event/3966/
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