diff --git a/base-notebook/Dockerfile b/base-notebook/Dockerfile
index 25340724b7..c036076d36 100644
--- a/base-notebook/Dockerfile
+++ b/base-notebook/Dockerfile
@@ -46,6 +46,7 @@ ARG miniforge_checksum="d4065b376f81b83cfef0c7316f97bb83337e4ae27eb988828363a578
 ENV DEBIAN_FRONTEND noninteractive
 RUN apt-get -q update && \
     apt-get install -yq --no-install-recommends \
+    tini \
     wget \
     ca-certificates \
     sudo \
@@ -115,10 +116,8 @@ RUN wget --quiet "https://github.com/conda-forge/miniforge/releases/download/${m
     conda list python | grep '^python ' | tr -s ' ' | cut -d '.' -f 1,2 | sed 's/$/.*/' >> $CONDA_DIR/conda-meta/pinned && \
     conda install --quiet --yes \
     "conda=${CONDA_VERSION}" \
-    'pip' \
-    'tini=0.18.0' && \
+    'pip' && \
     conda update --all --quiet --yes && \
-    conda list tini | grep tini | tr -s ' ' | cut -d ' ' -f 1,2 >> $CONDA_DIR/conda-meta/pinned && \
     conda clean --all -f -y && \
     rm -rf /home/$NB_USER/.cache/yarn && \
     fix-permissions $CONDA_DIR && \
diff --git a/base-notebook/test/test_start_script.py b/base-notebook/test/test_start_container.py
similarity index 58%
rename from base-notebook/test/test_start_script.py
rename to base-notebook/test/test_start_container.py
index 8b3f975935..f55b55f681 100644
--- a/base-notebook/test/test_start_script.py
+++ b/base-notebook/test/test_start_container.py
@@ -8,11 +8,7 @@
 
 
 @pytest.mark.parametrize(
-    "env,expected_server",
-    [
-        (["JUPYTER_ENABLE_LAB=yes"], "lab"),
-        (None, "notebook"),
-    ],
+    "env,expected_server", [(["JUPYTER_ENABLE_LAB=yes"], "lab"), (None, "notebook"), ],
 )
 def test_start_notebook(container, http_client, env, expected_server):
     """Test the notebook start-notebook script"""
@@ -31,3 +27,17 @@ def test_start_notebook(container, http_client, env, expected_server):
     if not env:
         msg = "WARN: Jupyter Notebook deprecation notice"
         assert msg in logs, f"Expected warning message {msg} not printed"
+
+
+def test_tini_entrypoint(container, pid=1, command="tini"):
+    """Check that tini is launched as PID 1
+
+    Credits to the following answer for the ps options used in the test:
+    https://superuser.com/questions/632979/if-i-know-the-pid-number-of-a-process-how-can-i-get-its-name
+    """
+    LOGGER.info(f"Test that {command} is launched as PID {pid} ...")
+    c = container.run(tty=True, command=["start.sh"])
+    # Select the PID 1 and get the corresponding command
+    cmd = c.exec_run(f"ps -p {pid} -o comm=")
+    output = cmd.output.decode("utf-8").strip("\n")
+    assert output == command, f"{command} shall be launched as pid {pid}, got {output}"
diff --git a/docs/using/selecting.md b/docs/using/selecting.md
index 177cb6d8a8..9b6180b72a 100644
--- a/docs/using/selecting.md
+++ b/docs/using/selecting.md
@@ -238,7 +238,7 @@ core images and link them below.
   **nvidia/cuda** base image, the well-maintained **docker-stacks** that is integrated as submodule
   and GPU-able libraries like **Tensorflow**, **Keras** and **PyTorch** on top of it.
 
-- [PRP GPU Jupyter repo](https://gitlab.nautilus.optiputer.net/prp/jupyter-stack/-/tree/prp) and [Registry](https://gitlab.nautilus.optiputer.net/prp/jupyter-stack/container_registry): PRP (Pacific Research Platform) maintained registry for jupyter stack based on NVIDIA CUDA-enabled image. Added the PRP image with Pytorch and some other python packages, and GUI Desktop notebook based on https://github.com/jupyterhub/jupyter-remote-desktop-proxy.
+- [PRP GPU Jupyter repo](https://gitlab.nautilus.optiputer.net/prp/jupyter-stack/-/tree/prp) and [Registry](https://gitlab.nautilus.optiputer.net/prp/jupyter-stack/container_registry): PRP (Pacific Research Platform) maintained registry for jupyter stack based on NVIDIA CUDA-enabled image. Added the PRP image with Pytorch and some other python packages, and GUI Desktop notebook based on <https://github.com/jupyterhub/jupyter-remote-desktop-proxy>.
 
 - [cgspatial-notebook](https://github.com/SCiO-systems/cgspatial-notebook) is a community Jupyter
   Docker Stack image. The image includes major geospatial Python & R libraries on top of the