AI Training Series - Intro to Container Technology & Application to AI at LRZ

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. On-site participation will allow for direct interaction with trainers during hands-on and demos. When registering, you can choose between 2 booking options:

- Academia Germany ONLINE: If you want to attend remotely.
- Academia Germany ON-SITE: If you want to attend at LRZ in Garching near Munich.

On-site participants are expected to bring their own laptops.


Since the introduction of docker back in 2013, container technology has become the industry standard for software packaging, distribution, and deployment.
Creating a container consists in bundling an application, its dependencies and runtime in a single unit that can later run independently of the underlying infrastructure. Unlike virtual machines, containers are lightweight and yield higher performances while providing greater versatility and interoperability. As containers accommodate an easy, safe, reliable, and scalable way to run applications and pipelines, they are an attractive candidate for high performance computing and artificial intelligence workloads.
With this course, we will showcase the most enticing features and niceties offered by containers. Not only will we explore their history and implementations, but we will also dive into actual and cutting edge uses with a particular emphasis on artificial intelligence tasks, reproducible biomedical pipelines, and automated workflows.
Participants will roll up their sleeves and get their hands on the compute cloud of LRZ to set containers in action. By the end of the course, participants will be able to transfer their experience and knowledge to their specific use-cases and requirements.

Three content blocks of roughly one hour each:

1 A Tour of Containers and Kickstart
    1.1 You Are Here
    1.2 Basic Concepts for Containers
    1.3 Containers vs. the World
    1.4 Kickstarter: Your First Steps With Containers
2 Under the Hood of Containers: Warm-up Lap to Flat-out
    2.1 The Bolts and Nuts of Containers
        2.1.1 namespaces, cgroups, and copy-on-write Storage
        2.1.2 Volumes, Networking, and More
        2.1.3 Configuration and Image Creation
    2.2 Warm-up lap: Make an ANN  Dream in a Container
    2.3 Containers and Security
        2.3.1 Security and User Namespace
        2.3.2 Security and Docker Socket Exploit
    2.4 Containers and HPC
    2.5 Flat-out: Containers and HPC With enroot and Charliecloud
3 Containers on Nitromethane
    3.1 Abstract Your Containers
        3.1.1 Continuous Integration / Continuous Deployment
        3.1.2 Reproducible Scientific Pipelines
    3.2 Hardware Accelerated Containers
    3.3 Orchestration and Scaling Across a Compute Cluster
    3.4 Last Lap: Reproducible Transcriptomic Workflow With Containers and Nextflow

End: Wrap-up, take home message, last questions and book / website / podcast / events recommendations


  • AI Training Series: Orientation Session (or comparable previous knowledge): access the remote workbench, navigate the workbench, edit files, pull images, spin containers...


  • Hands-on #1: Your first steps with containers
  • Hands-on #2: Make an artificial neural network dream in a container
  • Hands-on #3: Container and HPC with Charliecloud 
  • Hands-on #4: Enable transcriptomic reproducible workflow with con- tainers and Nextflow

Content Level

The content level of the course is broken down as:

Beginner's content:



Intermediate content:



Advanced content:



Community-targeted content:






Florent Dufour (LRZ)

Prices and Eligibility

The course is open and free of charge for academic participants from Germany.


Please register with your official e-mail address to prove your affiliation.

Withdrawal Policy

See Withdrawal

Legal Notices

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Course AI Training Series - Intro to Container Technology & Application to AI at LRZ
Number hdta2s23
Available places 43
Date 26.04.2023 – 26.04.2023
Price € 0.00
Boltzmannstr. 1
85748 Garching near Munich
Room Kursraum 2
Registration deadline 19.04.2023 23:59
No. Date Time Leader Location Room Description
1 26.04.2023 10:00 – 16:00 Johannes Albert-von der Gönna
Florent Dufour
LRZ Events
HYBRID: ONLINE/LRZ Kursraum 2 Lecture