> For the complete documentation index, see [llms.txt](https://docs.robbie.run/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.robbie.run/running-your-experiments-on-robbie/overview.md).

# Overview

### Overview

There are several ways to run computing jobs on Robbie. Which approach works best for you depends on your existing toolset (e.g. IDE) and what you are trying to accomplish. The following table highlights when to use specific Robbie capabilities:

| **Robbie Capability** | **Existing Toolset**                | **When to Use**                                                                                                                                                                    |
| --------------------- | ----------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Remote Functions      | Jupyter Notebook                    | <ul><li>Experiments in local Jupyter Notebook or Google Colab</li><li>Your notebook into cells that and that need GPUs.</li></ul>                                                  |
| Magics                | Jupyter Notebook                    | <ul><li>Experiments in local Jupyter Notebook or Google Colab</li><li>Your notebook into cells that and that need GPUs.</li></ul>                                                  |
| Notebook Runner       | Jupyter Notebook                    | <ul><li>Long running training jobs</li><li>You don’t want to adapt your Notebook to run on a SLURM cluster</li></ul>                                                               |
| Command Runner        | Windows, Mac, or Linux Command Line | <ul><li>You work with Python .py files and a requirement.txt files</li><li>You need to use training frameworks that have special commands (e.g. torch tune or torch run)</li></ul> |


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