Additional packages result into helm upgrade timeout

Hello, This is a great Docker image, thanks for releasing it.
Unfortunately, I'm having issues extending the your cuda11, ubuntu 18 Python only image. If I add the following apt packages unzip and zip and the pip packages jupyter-server-proxy, jupyter-archive, prettytable, and upgrade pip and tensorboard I end up with a 7GB image that results in timeout when using helm upgrade. Am I doing something wrong? Here is the Dockerfile.usefulpackages :

LABEL authors="Christoph Schranz <christoph.schranz@salzburgresearch.at>, Mathematical Michael <consistentbayes@gmail.com>"

USER root

RUN pip install --no-cache-dir ipyleaflet "plotly>=4.14.3" "ipywidgets>=7.5"

# Install important packages and Graphviz
RUN set -ex \
 && buildDeps=' \
    graphviz==0.11 \
' \
 && apt-get update \
 && apt-get -y install \
    htop \
    apt-utils \
    iputils-ping \
    graphviz \
    libgraphviz-dev \
    openssh-client \
    zip \
    unzip \
 && pip install --no-cache-dir $buildDeps 

# Install various extensions
RUN fix-permissions $CONDA_DIR

# RUN jupyter labextension install @jupyterlab/github
# RUN pip install jupyterlab-git
RUN pip install jupyterlab-drawio
RUN jupyter nbextension enable --py --sys-prefix ipyleaflet
RUN jupyter labextension install jupyterlab-plotly
RUN jupyter labextension install @jupyter-widgets/jupyterlab-manager plotlywidget
# RUN pip install --no-cache-dir jupyter-tabnine  --user && \
#   jupyter nbextension install --py jupyter_tabnine --user && \
#   jupyter nbextension enable --py jupyter_tabnine --user && \
#   jupyter serverextension enable --py jupyter_tabnine --user
RUN pip install --no-cache-dir jupyter_contrib_nbextensions \
  jupyter_nbextensions_configurator rise
#  jupyter nbextension enable codefolding/main

RUN jupyter labextension install @ijmbarr/jupyterlab_spellchecker
RUN pip install --no-cache-dir --upgrade pip
RUN pip install --no-cache-dir prettytable
RUN pip install --no-cache-dir jupyter-server-proxy
RUN pip install --no-cache-dir --upgrade tensorboard
RUN pip install --no-cache-dir jupyter-archive

RUN fix-permissions /home/$NB_USER

# Switch back to jovyan to avoid accidental container runs as root
USER $NB_UID

iot-salzburg / gpu-jupyter

Additional packages result into helm upgrade timeout #61