List Python and Multi-GPU tutorials on the index and give each tutorial a unique weight

| Tutorial | Time | What you'll learn |

|----------|------|-------------------|

| [Bash Basics](/tutorials/bash/) | 30 min | Navigate the filesystem, manage files, write scripts |

| [Bash Basics](/tutorials/bash/) | 45 min | Navigate the filesystem, manage files, write scripts |

| [Slurm Basics](/tutorials/slurm/) | 45 min | Submit jobs, request GPUs, monitor your work |

| [Python Environments](/tutorials/python/) | 45 min | Manage packages with UV, Pixi, Micromamba, and modules |

| [Apptainer](/tutorials/apptainer/) | 45 min | Package your environment in containers |

| [Running LLMs](/tutorials/running-llms/) | 20 min | Run LLM inference on DAIC with Ollama and Slurm |

| [Vim](/tutorials/vim/) | 30 min | Edit files efficiently on the cluster |

| [Multi-GPU Training](/tutorials/multi-gpu/) | 60 min | Scale deep learning across multiple GPUs |

| [Vim](/tutorials/vim/) | 30 min | Edit files efficiently on the cluster (independent of the others; read it whenever you need it) |

## Which tutorial do I need?

→ Start with [Slurm Basics](/tutorials/slurm/)

**My code needs specific packages/versions**

→ Read [Apptainer](/tutorials/apptainer/) to containerize your environment

→ Read [Python Environments](/tutorials/python/) for Python packages, or [Apptainer](/tutorials/apptainer/) to containerize a complete environment

**One GPU is not enough for my training**

→ Read [Multi-GPU Training](/tutorials/multi-gpu/) after [Slurm Basics](/tutorials/slurm/)

**I want to run an LLM on DAIC**

→ Read [Slurm Basics](/tutorials/slurm/) and [Apptainer](/tutorials/apptainer/) first, then follow [Running LLMs](/tutorials/running-llms/).

- **Prerequisites** - What you need to know first

- **Time** - Approximate duration

- **Hands-on exercises** - Practice as you learn

- **Summary** - Key takeaways

- **Summary or quick reference** - Key commands at a glance

- **What's next** - Where to go from here

Now let's get started with [Bash Basics](/tutorials/bash/).

---

title: "Apptainer tutorial"

weight: 3

weight: 4

description: >

  Using Apptainer to containerize environments.

---

---

title: "Tutorial: Running LLMs on DAIC"

weight: 4

weight: 5

description: "Guide to inference on DAIC with Ollama models."

---