InnKube Infrastructure Group - University of Passau

Quick Links: JupyterHub | Service status | Management issues

We are a group of computer-scientific and applied mathematical chairs collaborating to maintain a large cluster of computing machines. Students and staff members can get access to GPU and CPU resources as well as big data storage to follow their research endeavours.

Feedback about this documentation and our services is always welcome. You can find our contact information here.

General information

Our services

HowTo's

Teaching & Research

Administration

Contribution

General information

General information

• Accessing Our Services
  • Offered Services
  • Resource Access
• Servers
  • Kubernetes
  • Docker hosts
  • Other hosts
• External Compute Resources
  • High-Performance Computing (HPC) Center Tiers
  • BayernKI
  • National High Performance Computing (NHR)
  • Gauss Centre for Supercomputing (GCS)
  • The European High Performance Computing Joint Undertaking (EuroHPC JU)
• Frequently asked (FAQ)
  • How can I or my student get computing resources?
  • How should I treat data backups?
  • Who should I contact in case of doubts?
  • How do I get a notification before maintenance downtime?
  • Can I use Docker inside my container?
  • Why is my container not available anymore?
• Contact, Support, Feedback
  • Contact Persons
  • Problems with your Resources
  • Maintenance Announcements on Stud.IP
  • General Support and Feedback
• Contributors
  • People
  • History

Services in our infrastructure

Using our services

• JupyterHub
  • Connecting to Jupyter Hub
  • Saving installed Python packages across server restarts
  • Connecting to Jupyter Hub via you favorite IDE
  • Troubleshooting
• Compute containers
  • FAQ
  • Setting Up Your Pod
• Virtual machines
  • When to choose a virtual machine?
• Big Data Storage Services
  • Organisation of Data
  • Accessing Data
  • Simple Policies
• LLM Inference Endpoint
  • Introduction
  • Available Models
  • Documentation
• SSH Fingerprints
  • Services
  • Virtual machines
  • Physical hosts
• Kubernetes
  • Kubernetes API/CLI Access

HowTo’s, Tutorials and Tips

HowTo's

• Install & Use Jupyter Lab in a Compute Container
  • Initial Setup
  • Starting Persistent Jupyter Sessions
  • Reconnect to a Running Jupyter Server
• General Jupyter Usage
  • How can I access my data from JupyterHub?
  • How can I use git with JupyterLab?
  • How can I run the notebook with the right dependencies?
  • How can I see the output of a notebook cell if I closed the tab while it was running?
• Backup your data
  • LRZ Sync+Share
  • Local backups
  • With rsync to a remote host or external hard disk
  • ZIM backup mount
• Workshop 2022
  • Purpose of this workshop

Teaching & Research

Teaching & Research

• Recommended Readings
  • Data Science and Data Engineering

Administration

Administration

• Granting Service Access
  • JupyterHub and MinIO Access
  • Compute Containers
  • Docker Containers
• On- and Offboarding of Staff
  • On-boarding
  • Off-boarding
• Virtual Machines
  • How to provide a virtual machine?
  • Where to document the usage of the virtual machine?
  • VM Migration from libvirt to Proxmox VE
• Keycloak
  • Groups
  • Roles
  • More information
• MinIO Policy Customization
  • For everybody at our chair
  • For a set of individual users
• GitLab - Pages
  • Certificates
• Updating Servers
• Issues and Solutions

Documentation

Contribution

• Development on this documentation
  • Local development
  • Installing dependencies
  • Building the documentation
  • Running CI image locally
  • Further resources
• Separation
  • When to choose issue-tracking, wiki, public docs or own todo-lists?
  • Examples
• Feedback