From 86fa6afe00e09562824cf866ad0f79a9b1b538ef Mon Sep 17 00:00:00 2001
From: "s4122485--tu-dresden.de" <elias.werner@tu-dresden.de>
Date: Wed, 21 Feb 2024 13:20:58 +0100
Subject: [PATCH] add quick fix for deprecated JupyterHub section

---
 .../docs/jobs_and_resources/alpha_centauri.md             | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/doc.zih.tu-dresden.de/docs/jobs_and_resources/alpha_centauri.md b/doc.zih.tu-dresden.de/docs/jobs_and_resources/alpha_centauri.md
index 99d818d86..81d40d074 100644
--- a/doc.zih.tu-dresden.de/docs/jobs_and_resources/alpha_centauri.md
+++ b/doc.zih.tu-dresden.de/docs/jobs_and_resources/alpha_centauri.md
@@ -172,10 +172,10 @@ additional Python packages and create an isolated runtime environment. We recomm
 ### JupyterHub
 
 [JupyterHub](../access/jupyterhub.md) can be used to run Jupyter notebooks on Alpha Centauri
-sub-cluster. As a starting configuration, a "GPU (NVIDIA Ampere A100)" preset can be used
-in the advanced form. In order to use latest software, it is recommended to choose
-`fosscuda-2020b` as a standard environment. Already installed modules from `modenv/hiera`
-can be preloaded in "Preload modules (modules load):" field.
+cluster. You can either use the
+[standard profiles for Alpha](../access/jupyterhub.md/#standard-profiles) or use the advanced form 
+and define the resources for your JupyterHub job. The "Alpha GPU (NVIDIA Ampere A100)" Preset 
+is a good starting configuration.
 
 ### Containers
 
-- 
GitLab