Welcome to the Tillicum Onboarding Tutorial for Class IMT 526 A — a guided introduction to the Tillicum GPU cluster at the University of Washington.
This repository provides step-by-step materials to help new users get started with Tillicum, including examples, commands, and best practices.
Tillicum is a GPU-accelerated research computing cluster supporting AI, data science, and HPC workloads. This tutorial covers everything you need to start using Tillicum effectively for Class IMT 526 A — from logging in to running interactive notebooks on GPUs.
By completing this tutorial, you’ll learn how to:
- Connect to the UW VPN
- Log in and access Tillicum resources
- Navigate the filesystem and manage data
- Monitor usage on Tillicum
- Load and manage software modules
- Use Conda computing environments
- Launch Jupyter notebooks through Open OnDemand
Each topic in this tutorial is contained in its own Markdown file for easy navigation:
| Section | Description |
|---|---|
| 01-vpn.md | Connecting to the UW VPN (required for Open OnDemand) |
| 02-logging-in.md | How to log in via SSH |
| 03-filesystem.md | Understanding Tillicum filesystem, storage, and file transfer |
| 04-monitoring-usage.md | Monitoring jobs and usage on Tillicum |
| 05-computing-env.md | Setting up Conda environments |
| 06-ood-jupyter.md | Running Jupyter notebooks via Open OnDemand |
| 07-task.md | Preparations for the class |
Slide Deck from live tutorial on March 31, 2026