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.
### Can I use jupyter.rwth-aachen.de for my thesis/research/hobby project?
### Can I use RWTHjupyter for my thesis/research/hobby project?
Please consult the [Terms of Use](TermsOfUse.md) for details.
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@@ -28,7 +28,9 @@ It is currently not possible to load custom conda environemnts.
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://profiles.jupyter.rwth-aachen.de/
https://jupyter.rwth-aachen.de/service/profile/
**Note:** You need to hold the manager role of the profile which you want to rebuild. Please [contact us](Contact.md), if you dont have the role yet.
### What is the purpose of the `shared`, `materials` and `dataset` directories in my home directory