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1 | 1 | --- |
2 | | -description: This document describes how to use TJ's JupyterHub instance |
| 2 | +description: This document describes how to use TJ's Open OnDemand instance |
3 | 3 | --- |
4 | 4 |
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5 | 5 | # Open OnDemand |
6 | 6 |
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7 | 7 | ## What is Open OnDemand? |
8 | 8 |
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9 | | -[Open OnDemand](https://openondemand.org/) is how you can access TJ's Cluster. It contains many different applications within it, including JupyterLab, a fully-online IDE that is very similar to Google's Colab interface. Additionally, it also contains other IDEs for other programming languages, including RStudio for R, a MATLAB setup, and even a fully online VS Code via Codeserver! |
| 9 | +[Open OnDemand](https://openondemand.org/) is how you can access TJ's Cluster. It contains many different applications within it, including JupyterLab, a fully-online IDE that is very similar to Google's Colab interface. Additionally, it also contains other IDEs for other programming languages, including a fully online VS Code via Codeserver! There are also plans to add more IDEs, such as RStudio and/or MATLAB in the near future. |
10 | 10 |
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11 | 11 | ## How do I open an Application? |
12 | 12 |
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13 | 13 | TJ's OnDemand instance is available at[ https://ondemand.tjhsst.edu](https://ondemand.tjhsst.edu/). The first time you load the page, it may take a minute or two, and you will be redirected to Ion to authenticate. Then you will be presented with a screen that looks like this: |
14 | 14 |
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15 | 15 | <figure><img src="../../.gitbook/assets/image (17).png" alt=""><figcaption></figcaption></figure> |
16 | 16 |
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17 | | -Here, choose the application you want. In the following, we assume you choose Jupyter Lab. You should then be asked for a Job Profile, with the following options: |
| 17 | +Here, choose the application you want. In the following, we assume you choose Jupyter. You should then be asked for a Job Profile, with the following options: |
18 | 18 |
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19 | 19 | * Default (4 CPUs, 8GB RAM) |
20 | 20 | * Compute (8 CPUs, 16GB RAM) |
@@ -77,7 +77,7 @@ To undo the loading of a module, simply run: |
77 | 77 | module unload <name of environment> |
78 | 78 | ``` |
79 | 79 |
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80 | | -### Creating Pixi Environments |
| 80 | +### Creating Custom Pixi Environments |
81 | 81 |
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82 | 82 | Both the Python Notebook and Console are backed by [Pixi](https://pixi.sh/latest/) environments. Familiarize yourself with Pixi environments before reading on. If you're familiar with `conda` environments, Pixi is a faster conda with more features. |
83 | 83 |
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