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content for web-portals > jupyter-hub
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# Jupyter Hub | ||
# Jupyter Hub | ||
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Summary | ||
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In addition to Jupyter notebook sessions via Open OnDemand, CRC also hosts the functionality for the multi-user equivalent [Jupyter Hub](https://jupyter.org/hub). | ||
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[**Log in to Jupyter Hub**](http://hub.crc.pitt.edu) | ||
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Accessing CRC Jupyter Hub | ||
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The **Server Options** dropdown gives you the option to create a Jupyter Hub instance on your local machine, on the SMP cluster (1 core, 3 hours), or on the GPU cluster with GTX 1080 (1 GPU, 3 hours) or A100 (1 GPU, 3 hours). | ||
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![](../_assets/img/web-portals/JupyterHubServerOptions.png) | ||
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After making your selection, click on **Start** and you will be redirected once the job is provisioned on the cluster. This may take a few minutes, depending on the cluster's load. | ||
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Once the job has started, click on **Start My Server**, which will lead you to the Launcher page. | ||
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![](../_assets/img/web-portals/JupyterHubLauncher.png) | ||
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Here you can open a Jupyter notebook, a Console or even a Terminal. Your files stored on the CRC cluster are visible in the left pane. | ||
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Notebooks and Consoles can be started using a specific _kernel_. Some of these kernels correspond to standard Python (or Julia and R) environments, for instance Python 3.7. Other kernels can contain user-defined virtual environments, with specific packages installed. We provide guidelines on how to create Python virtual environments, install software in them and make them visible as user-defined kernels in Jupyter Hub at [python](../applications/python.md). | ||
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General information about Juyter notebook capabilities are available at [https://jupyter.org](https://jupyter.org). Jupyter notebooks created using the CRC Jupyter Hub are automatically saved to your home directory on the CRC cluster. The **File** menu near the top left corner of Jupyter Hub allows you to rename your files or to save them to non-default directories. |