diff --git a/Chapter10/Readme.md b/Chapter10/Readme.md
index e88273afab8322c43aa2cf792ad7b39f57586b99..c06c52cf8e65b4abd576370915bee7dbaa0ef2b7 100644
--- a/Chapter10/Readme.md
+++ b/Chapter10/Readme.md
@@ -45,8 +45,12 @@ We are working on establishing an easier way of using Gbar functionality which d
 
 First go to QIM platform [https://platform.qim.dk/](https://platform.qim.dk/) and log on using your DTU credentials.
 
-Under Tools menu, choose Jupyter launcher. In the new window yype in your DTU credentials (needs to be done twice). Under basic config QIM environment choose `qim3d` (it has the largest number of packages installed). Under advanced config choose HPC queue called `gpuqim`. Tick the checkbox Reset SSH tunnel. Click the button `Start jupyter server`. 
+Under Tools menu, choose Jupyter launcher. In the new window type in your DTU credentials (needs to be done twice). Press the square to put a checkmark at `Show detailed configuration`. You can here choose to configure your setup. 
 
-The platform shold launch your job and a button with `Open Jupyter` should appear, leading you to a jupyter server running in your home directory on the Gbar. 
+The `Root directory` determines the root of Jupyter.
+
+The `Conda environment` is by default `hpc`, which is CPU. So choose one of the GPU ques. The smaller machines like `gpua10` or `gpua40` are fine.
+
+The platform shold launch your job and a button with `Open Jupyter` should appear, leading you to a Jupyter server running in your home directory on the Gbar.