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+
+# Use a GPU-enabled base image based on the recommendation from
+# https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html#gpu-accelerated-notebooks
+# As this combines the tensorflow-notebook and the cuda-notebook, so we only
+# need to install the additional packages for each course.
+FROM cschranz/gpu-jupyter:v1.5_cuda-11.6_ubuntu-20.04_python-only
+
+USER root
+# The base image only gets updated when a new version of CUDA is released.
+# We need to update the base image to get the latest security updates.
+RUN apt-get update && \
+    apt-get upgrade -y && \
+    apt-get autoremove -y && \
+    rm -rf /var/lib/apt/lists/*
+
+USER ${NB_UID}
+
+# Required for Tensorboard on a remote container
+RUN mamba install --yes \
+    'jupyter-server-proxy' && \
+    # SciML requirements
+    mamba install --yes \
+    'pytorch' 'transformers' 'accelerate' 'bitsandbytes' && \
+    mamba clean --all -f -y && \
+    fix-permissions "${CONDA_DIR}" && \
+    fix-permissions "/home/${NB_USER}"
+