AI Training Series - The LRZ Compute Cloud for AI Support

Course/Event Essentials

Event/Course Start
Event/Course End
Event/Course Format
Mixed
Live (synchronous)
Primary Event/Course URL
https://app1.edoobox.com/en/LRZ/Hybrid%…

Venue Information

Country: Germany
Venue Details: Click here

Training Content and Scope

Scientific Domain
Not scientific domain specific
Technical Domain
Artificial intelligence (AI), machine and deep learning
General HPC systems and architectures
Level of Instruction
Beginner
Intermediate
Sector of the Target Audience
Research and Academia
Language of Instruction
English

Other Information

Organiser
LRZ
Event/Course Description

This course is part of the "LRZ AI Training Series", a series of courses aiming at the needs and expectations of data analytics, big data & AI users at LRZ. While focusing on these particular users and their use cases, this session as well as all other courses offered as part of the AI Training Series are, of course, open to all interested parties.

This course for academic participants from Germany will be organised as a hybrid event with the possibility to attend at LRZ in Garching near Munich or online.

Contents

The aim of this course is to provide participants with the knowledge and skills necessary to augment the AI workload capabilities of the LRZ AI Systems by using the LRZ Compute Cloud infrastructure. The course consists of mini lectures, and demonstration of several use cases that commonly arise when running certain AI workloads for which the LRZ AI Systems do not necessarily provide an immediate solution. The topics covered are:

  • Fundamentals of cloud computing and infrastructure as a service (IaaS) clouds

  • Using the LRZ Compute Cloud via the web Interface

  • Using the LRZ Compute Cloud via the command line

  • Description of use case scenarios and best-practise solutions

The session is structured as three contents blocks of roughly one and a half hour each (B=Beginner's, I=Intermediate, A=Advanced content):

  • Introduction to fundamentals of Cloud Computing (B)
    • Definition of Cloud Computing (B)
    • Characteristics and Types of Cloud Services (B)
  • Using the LRZ cloud resources via the web interface (B) + (I)
    • Review of ssh keys (B)
    • Introduction to the Compute Cloud web Interface (B)
    • Hands-on session (B) + (I)
      • Create ssh-key (B)
      • Create a Server in the Compute Cloud (B)
      • Security groups and floating IPs for accessing servers (I)
  • Using the LRZ cloud resources via the command line (I)
    • Introduction of the Open Client tools (I)
    • Hands-on session (I) + (A)
      • Listing resources (I)
      • Create a Server in the Cloud (I)
  • Description of use case scenarios and best-practise solutions (I)
    • The Compute Cloud for building container images (I)
    • The Compute Cloud for downloading data into DSS containers (I)
    • The Compute Coud for privacy preserving workloads: use case for biomedical applications (I) + (A)