diff --git a/docs/getting_started/project_apply.md b/docs/getting_started/project_apply.md
index 38a59c838..3e195de4c 100644
--- a/docs/getting_started/project_apply.md
+++ b/docs/getting_started/project_apply.md
@@ -3,6 +3,11 @@
 ??? t2s "Text to speech"
     <audio src="project_apply.mp3" controls preload></audio>
 
+!!! note "Apply for a project here"
+
+    See [here](https://www.uu.se/en/centre/uppmax/get-started/create-account-and-apply-for-project/apply-for-projects) 
+    to apply for a project.
+
 To use [UPPMAX](../cluster_guides/uppmax.md) resources, one needs:
 
 - [an active research project](project.md)
@@ -10,6 +15,8 @@ To use [UPPMAX](../cluster_guides/uppmax.md) resources, one needs:
 
 This page is about applying for an UPPMAX project.
 
+See [here](https://www.uu.se/en/centre/uppmax/get-started/create-account-and-apply-for-project/apply-for-projects) to apply for a project.
+
 ???- question "I just got an UPPMAX project, yet I cannot login to UPPMAX?"
 
     It tends to be a matter of minutes to less than hours
@@ -17,94 +24,3 @@ This page is about applying for an UPPMAX project.
 
     If after one night you cannot login,
     please [contact support](../support.md).
-
-## The projects
-
-- No cost to researchers all over Sweden.
-- 3 different levels regarding storage and core hours per month
-
-### Compute at UPPMAX (always with 128 GB storage)
-
-- Small: 2000 cpu-hrs/month
-    - Can be increased to 10,000 hrs
-    - PI: PhD student or higher.
-- Medium: 10,000-200,000 cpu-hs/month
-    - PI: Assistant professor (forskarassistent) or higher. 
-- Large 100,000 cpu-hs/month
-    - PI: Assistant professor (forskarassistent) or higher. 
-
-### Storage at UPPMAX
-
-- Small: 128 GB-10 TB of storage.
-    - PI: PhD student or higher.
-- Medium: 10-100 TB
-    - PI: Assistant professor (forskarassistent) or higher. 
-- Large: More than 100 TB
-    - PI: Assistant professor (forskarassistent) or higher. 
-
-
-## Application rounds
-
-<https://www.naiss.se//#application-rounds-for-compute-and-storage-resources>
-
-## NAISS HPC Clusters
-
-<https://www.snic.se/resources/compute-resources/>
-
-- Mostly Intel-based CPU:s and Nvidia GPU:s
-- UPPMAX, Uppsala University (UU):
-    - Rackham - General computational resource and also focused towards Life Science
-    - Bianca - NAISS-SENS, resource dedicated to research on sensitive data
-
-- PDC, KTH Royal Institute of Technology (KTH):
-    - Dardel - General computational resource
-    - Not Intel/Nvidia but Cray/AMD CPU:s and GPU:s
-- NSC, Linköping University (LiU):
-    - Tetralith - General computational resource
-- C3SE, Chalmers University of Technology:
-    - Alvis - Accelerator-based resource dedicated to research using AI techniques
-AND the international
-- LUMI, Finland:
-    - LUMI - General computational resource, aimed at larger projects in Sweden
-    - Not Intel/Nvidia but Cray/AMD CPU:s and GPU:s
-
-### Locally financed systems for local users
-
-- UPPMAX, Uppsala University (UU).
-    - Snowy - GPU:s and long runs
-- LUNARC, Lund University (LU):
-    - Aurora
-- C3SE, Chalmers University of Technology
-    - Vera
-- NSC, Linköping University (LiU):
-    - BerzeLiUs - for AI and machine learning
-- HPC2N, Umeå University (UU):
-    - Kebnekaise - General computational resource
-
-## SNIC Science Cloud (SSC)
-
-- Complement, offering "advanced functionality" to users who:
-
-    - need more flexible access to resources
-        - e.g. more control over the OS:s and software environments
-    - want to develop software as a service
-    - want to explore recent technology such as for
-        - IoT applications
-        - “Big Data” e.g. Apache Hadoop/Spark
-
-
-- The UPPMAX cloud Dis (Swedish word for "haze")  was introduced in October 2017 and upgraded during 2020.
-    - East region in the SNIC Science Cloud, see [../cluster_guides/uppmax_cloud.md]
-
-- Other clouds
-
-    - Umeå University (North, HPC2N).
-
-    - Chalmers University (West, C3SE).
-
-## Storage
-
-### SNIC Storage: Swestore
-
-- The purpose of Swestore allocations, granted by Swedish National Allocations Committee (SNAC), is to provide large scale data storage for “live” or “working” research data, also known as active research data.
-- [https://www.snic.se/resources/swestore/](https://www.snic.se/resources/swestore/)