2024-07-15 AI Training Series - The LRZ Compute Cloud for AI Support (hdta7s24) - CANCELLED
Course | CANCELLED - AI Training Series - The LRZ Compute Cloud for AI Support |
Number | hdta7s24 |
Available places | 29 |
Date | 15.07.2024 – 15.07.2024 |
Price | EUR 0.00 |
Location | Leibniz Rechenzentrum Boltzmannstr. 1 85748 Garching b. München |
Room | Kursraum 2 |
Registration deadline | 08.07.2024 23:59 |
education@lrz.de |
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:
- 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)
Prerequisites
- AI Training Series: Orientation Session
- AI Training Series: Introduction to the LRZ AI Systems
Hands-On
During the course students will experiment with the LRZ Compute Cloud, create SSH key pairs, spin up and login to VMs on the LRZ Compute Cloud
Content Level
The content level of the course is broken down as:
Beginner's content: | 2:30h | 55% |
Intermediate content: | 1:30h | 33% |
Advanced content: | 0:30h | 12% |
Community-targeted content: | 0:00h | 0% |
Language
English
Lecturers
Florent Dufour, Dr. Juan Durillo Barrionuevo, Dr. Naweiluo Zhou (all LRZ)
Prices and Eligibility
The course is open and free of charge for academic participants from Germany.
Registration
Please register with your official e-mail address to prove your affiliation.
Withdrawal Policy
See Withdrawal
Legal Notices
For registration for LRZ courses and workshops we use the service edoobox from Etzensperger Informatik AG (www.edoobox.com). Etzensperger Informatik AG acts as processor and we have concluded a Data Processing Agreement with them.
See Legal Notices
No. | Date | Time | Teacher | Location | Room | Description |
---|---|---|---|---|---|---|
1 | 15.07.2024 | 10:00 – 16:00 | Juan Durillo Barrionuevo Florent Dufour Naweiluo Zhou | Leibniz Rechenzentrum | Kursraum 2 | Lecture |