diff --git a/code/container/README.md b/code/container/README.md
index f93d340f12a7abbd9cdf4b06f15c5f098695c14c..264f455c713770aa89940e72fb1e360324ff6873 100644
--- a/code/container/README.md
+++ b/code/container/README.md
@@ -60,7 +60,7 @@ Below are two examples of how to use HPC JupyterHub. The first example shows the
 2. click on the "Sign in with AcademicCloud" button
 3. start your server with the following options (everything else is default)
   - Select the appropriate HPC project (username)
-	- Select a job profile: `GWDG HPC with own Container`
+	- Select a job profile: `GWDG HPC (NVIDIA V100 GPU) with own Container`
 	- Set your own Apptainer container location: `path/to/dlc-dlwgpu.sif`
 	- Jupyter Notebook's Home directory: `/path/to/deep-learning-with-gpu-cores/`
 4. run the code