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VERSION:2.0
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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:20260910T115500Z
UID:indico-event-3966@indico.ijs.si
CONTACT:events@slaif.si
DESCRIPTION:Speakers: Žiga Zebec (IZUM)\, Teo Prica (IZUM)\, Samo Miklavc
  (IZUM)\, Samo Lorenčič (IZUM)\, Dejvid Črešnar (IZUM)\, Darin Lah (IZ
 UM)\n\nIzvajalec / Course provider: Institute of Information Sciences (IZU
 M)\nPredavatelji / Instructors:  Darin Lah (IZUM)\, Žiga Zebec (IZUM)\, 
 Teo Prica (IZUM)\, Samo Miklavc (IZUM)\, Dejvid Črešnar (IZUM)\, Samo Lo
 renčič (IZUM)\nLearning objectives: Give basic information on HPC Vega a
 nd the new AI. It covers the basics\, from creating SSH keys\, logging int
 o Vega\, EuroHPC registration in comparison to SLING registration\, basic 
 Linux commands\, and job submission and management. Additionally\, it cove
 rs an introduction to Vega's new cloud-like AI/HPC architecture\, built on
  OpenStack\, for running containerized AI workloads. The event will also a
 llow participants to provide information about their AI projects\, along w
 ith any issues\, challenges\, or questions\, in advance\, enabling our HPC
  and AI-infrastructure expert teams to take a detailed look at their proje
 cts.\nCourse content: The workshop content will be tailored to participant
  AI projects\, building on past use cases and established best practices f
 or running machine learning and AI workloads on HPC systems\, including ef
 ficient GPU job submission\, resource usage\, and common pitfalls. Attenti
 on will be given to Vega's new cloud-like AI/HPC platform\, which combines
  OpenStack for infrastructure provisioning with Kubernetes for container o
 rchestration\, enabling scalable\, reproducible\, and portable AI workflow
 s alongside traditional Slurm-based batch jobs. Practical guidance will be
  provided on how to improve\, streamline\, and accelerate AI training\, fi
 ne-tuning\, and inference workflows on Vega.\nLearning outcomes: As a resu
 lt\, participants will gain a solid foundation for working independently o
 n HPC Vega for AI workloads\, a clear understanding of core HPC and cloud-
 native concepts including Slurm\, OpenStack\, and Kubernetes\, and practic
 al insights into optimizing their AI jobs to improve performance and overa
 ll efficiency in a hybrid HPC/cloud environment.\n\nhttps://indico.ijs.si/
 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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