Merge pull request #225026 from pritamso/Broken-link-fix-alkohli

Broken link removed

Author: prmerger-automator[bot]

articles/databox-online/azure-stack-edge-gpu-deploy-iot-edge-gpu-sharing.md

@@ -217,7 +217,7 @@ For detailed instructions, see [Connect to and manage a Kubernetes cluster via k
 
 ### Deploy modules via portal
 
-Deploy IoT Edge modules via the Azure portal. You'll deploy publicly available Nvidia CUDA sample modules that run n-body simulation. For more information, see [N-body simulation](https://physics.princeton.edu//~fpretori/Nbody/intro.htm).
+Deploy IoT Edge modules via the Azure portal. You'll deploy publicly available Nvidia CUDA sample modules that run n-body simulation.
 
 1. Make sure that the IoT Edge service is running on your device.
 

articles/databox-online/azure-stack-edge-gpu-deploy-kubernetes-gpu-sharing.md

@@ -142,7 +142,7 @@ You'll run the first job to deploy an application on your device in the namespac
     kubectl apply -f <Path to the deployment .yaml> -n <Name of the namespace> 
     ```  
 
-    This job creates two containers and runs an n-body simulation on both the containers. The number of simulation iterations are specified in the `.yaml`. For more information, see [N-body simulation](https://physics.princeton.edu//~fpretori/Nbody/intro.htm).
+    This job creates two containers and runs an n-body simulation on both the containers. The number of simulation iterations are specified in the `.yaml`.
 
     Here is an example output: