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+# LUMI AI
+
+LUMI can assist users in migrating their machine learning applications from smaller-scale computing environments to LUMI.
+
+## LUMI AI Guide
+
+The guide is available at [LUMI gitlab][1] page.
+Note that the project is still work in progress and changes are made constantly.
+
+## Requirements
+
+Before proceeding, please ensure you meet the following prerequisites:
+
+* A basic understanding of machine learning concepts and Python programming. This guide will focus primarily on aspects specific to training models on LUMI.
+* An active user account on LUMI and familiarity with its basic operations.
+* If you wish to run the included examples, you need to be part of a project with GPU hours on LUMI.
+
+## Examples
+
+For examples visit [LUMI AI workshop][2].
+
+[1]: https://github.com/Lumi-supercomputer/LUMI-AI-Guide/blob/main/README.md
+[2]: https://github.com/Lumi-supercomputer/Getting_Started_with_AI_workshop
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diff --git a/mkdocs.yml b/mkdocs.yml
index 5db6cf5f685018d3e748e0bc49b6ac6d531ad9f6..1438fe6a5b836d9e564a31d714d720e5fd734473 100644
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+++ b/mkdocs.yml
@@ -314,6 +314,7 @@ nav:
       - VESTA: software/viz/vesta.md
   - LUMI:
       - About LUMI: lumi/about.md
+      - LUMI AI: lumi/lumiai.md
       - LUMI Software:
         - General: lumi/software.md
         - OpenFoam: lumi/openfoam.md