diff --git a/Chapter10/Chapter10.md b/Chapter10/Chapter10.md
index db18d1da9deaf73895c90e8e4ef29a64427c91b7..c46050b7c0bf38f7e04632fa698fa065e1c360a5 100644
--- a/Chapter10/Chapter10.md
+++ b/Chapter10/Chapter10.md
@@ -5,3 +5,24 @@ The notebook the exercise in Chapter 10 is available from here:
 
 You can aslo open it directly in Google Colab from here:
 [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vedranaa/teaching-notebooks/blob/main/02506_week10_MiniUnet.ipynb)
+
+
+## Run the notebook on DTU Gbar
+
+You can also run the notebook on Gbar on an interactive note. This is done by setting up a Python environment. First you should log onto an interactive GPU node such as 'voltash' by running the following command on the command line:
+
+'voltash -X'
+
+To set up a Python environment, you can use the script 'env02506.sh'. You should place the file 'env02506.sh' in a folder on the Gbar and then run the command line:
+
+'source env02506.sh'
+
+The first time you run this, the script will create a new python environment called 'env02506' and activate it.
+
+Then you should install the packages needed which include:
+'pip install torch torchvision'
+'pip install Pillow'
+'pip install notebook'
+
+Now you are good to go. You can navigate to the folder that you wish to store the code, download the notebook from the link above, and open a jupyter notebook by typing:
+'jupyter-notebook'