Jupyter Lab with GPU support
5.5K
This Dockerfile and the rest of scripts have been taken from the repository Zero to JupyterHub
The goal of this image is to be run by JupyterHub on Kubernetes.
This component is part of a toolkit used to simplify the data scientists daily work. For more details check out the Science Toolkit documentation
Please visit the documentation site for help using and contributing to this image and others.
This component is part of a toolkit used to simplify the data scientists daily work. For more details check out the Science Toolkit documentation
To update this image there are 3 files in jupyterlab-gpu-image/config where you can add new elements:
| File | Description |
|---|---|
| apt_get_libraries.txt | Apt libraries |
| frameworks_requirements.txt | Python Frameworks |
| jupyterlab_extensions.txt | JupyterLab Extensions |
| requirements.txt | Python extra libraries |
After modifying the file, the commit message need to start with fix(requirements):<git message> or feat(requiremtens):<git message>
To upload a datasets from jupyter notebook to minio just run the below command.
mc ls minio
mc cp <data_set_file> minio/<project>/<subfolder>
Content type
Image
Digest
Size
3.6 GB
Last updated
almost 5 years ago
docker pull terminus7/jupyterlab-gpu