From 53a3e2eb5980a9b2264c1d93aed3d917a3dc8097 Mon Sep 17 00:00:00 2001
From: Hauke Kirchner <hauke.gronenberg@gwdg.de>
Date: Fri, 7 Feb 2025 15:01:51 +0000
Subject: [PATCH] Container README updated according to changes in the Jupyter
 Service

---
 code/container/README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/code/container/README.md b/code/container/README.md
index 048b814..df9a04f 100644
--- a/code/container/README.md
+++ b/code/container/README.md
@@ -60,7 +60,8 @@ 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 (NVIDIA V100 GPU) with own Container`
+	- Select a job profile: `GWDG HPC with GPU
+  - Choose "Custom Apptainer Container Location"
 	- 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
-- 
GitLab