Scientific images
This page is mostly related to our Official JupyterHub, but all images can be also used in other pods deployed directly on the cluster.
There are two main projects providing the stack of images:
Both projects now support CUDA and ARM. Docker stack only has CUDA in TensorFlow and PyTorch variants.
The list of NRP-provided images and registry links are available in our GitLab registry:
The NRP image with additional libraries (gitlab-registry.nrp-nautilus.io/nrp/scientific-images/python) is based on Docker Stack TensorFlow and PyTorch, with additional packages.
NOTE: If you are using the VS Code editor with a Jupyter Notebook, use the base Python Environment as the kernel. Moreover, do not use the /usr/bin/python//usr/bin/python3 Python executable. Instead, use python or python3 without the path.
Refer to https://gitlab.nrp-nautilus.io/nrp/scientific-images/python for the list of packages installed.
We can add more libraries to this image by requesting in Matrix.
The Desktop image has the X11 Window system installed and you can launch the GUI interface in Jupyter with this image. It's based on the Minimal stack.