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FAQ - RWTHjupyter

FAQ - RWTHjupyter

Are there any resource quotas/limits enforced on singleuser containers on RWTHjupyter?

Yes, we currently provide each user container with a maximum of 64 GiB RAM, 32 CPU cores and a 4 GiB of persistent storage space for your home directory.

last changed on 08.09.2023

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Can I use RWTHjupyter for my thesis/research/hobby project?

Please consult the Terms of Use for details.

last changed on 08.09.2023

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Can I use my own Jupyter environment or install additional packages / kernels?

This is only possible to a limited extent. We encourage all instructors and professors to apply for a customized profile for their course.
Students who wish to use RWTHjupyter outside of their courses should use one of the generic kernel profiles. These generic profiles can be customized by installation of additional packages via pip and conda. By default, added packages are not persistent and only available until the next spawn of your Jupyter container. As a workaround, packages can be installed in your home directory:
pip install --user pandas
You can also add this line into a Jupyter Notebook cell by prefixing it with an exclamation mark:
!pip install --user pandas
It is currently not possible to load custom conda environemnts.

last changed on 08.09.2023

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How can I rebuild the Docker image which used for my profile?

Please visit the following site and select your profile to trigger a new build of the Docker image which is used to spawn single user containers:
https://jupyter.rwth-aachen.de/services/profile/
Note: You need to hold the manager role of the profile which you want to rebuild. Please contact us, if you dont have the role yet.

last changed on 08.09.2023

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What is the purpose of the shared, materials and dataset directories in my home directory

Please have a look at the following dedicated page: Shared Folders

last changed on 08.09.2023

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How can I share a notebook with colleagues, friends, partners or my instructor?

Please have a look at the following dedicated page: Links

last changed on 08.09.2023

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Can RWTHjupyter be used by external partners?

Yes. Please use the RWTH Partner-Manager to sponsor a RWTH partner account.
You can then share your Jupyter Notebooks with your external partners.
Partner accounts can access RWTHjupyter but might have reduced privileges and/or priorities.

last changed on 08.09.2023

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How can I create a perma-link to a open a specific profile and/or Jupyter notebook?

Please have a look at the following dedicated page: Links

last changed on 08.09.2023

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This is cool! How can I contribute or improve RWTHjupyter?

We host most of our code, configuration and more on the RWTH GitLab instance.
Please feel free to contribute by submitting merge requests.
We are also looking for HiWi's to support us in improving this service. Feel free to get in touch with us.

last changed on 08.09.2023

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Who is behind RWTHjupyter?

The RWTHjupyter infrastructure was created in collaboration between the Institute for Automation of Complex Power Systems (ACS) and the IT Center of RWTH Aachen University.

last changed on 08.09.2023

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I've lost my changes to my notebooks. Changes to the courses Notebooks are not synchronized properly.

We use a Jupyter extension called nbgitpuller to sync Jupyter Notebooks. nbgitpuller uses an "automatic merging behaviour" to sync changes between your local home directory and the upstream Git repo. Please consult the nbgitpuller documentation for details about this merging behaviour.

last changed on 08.09.2023

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How can use GPUs on RWTHjupyter

Currently, GPUs are only available to selected courses. Please contact us if you wish to use GPU resources.

last changed on 08.09.2023

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Are there resource limits for the referenced Git repository?

When creating the Git repository, it is important to note that users only have a quota of 4GiB at their disposal.
Large files should therefore be avoided. If this is not possible, please ask your profile request to create a folder with the required data in our dataset share.
This share can be accessed by all users and serves to optimize storage usage so that not every student needs all datasets in their home directory.

last changed on 18.07.2024

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