Deleted "en-us" in two links

Author: megvanhuygen

articles/batch/batch-pool-compute-intensive-sizes.md

@@ -72,7 +72,7 @@ To configure a specialized VM size for your Batch pool, you have several options
 
 * For pools in the virtual machine configuration, choose a preconfigured [Azure Marketplace](https://azuremarketplace.microsoft.com/marketplace/) VM image that has drivers and software preinstalled. Examples: 
 
-  * [CentOS-based 7.4 HPC](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/openlogic.centos-hpc?tab=Overview) - includes RDMA drivers and Intel MPI 5.1
+  * [CentOS-based 7.4 HPC](https://azuremarketplace.microsoft.com/marketplace/apps/openlogic.centos-hpc?tab=Overview) - includes RDMA drivers and Intel MPI 5.1
 
   * [Data Science Virtual Machine](../machine-learning/data-science-virtual-machine/overview.md) for Linux or Windows - includes NVIDIA CUDA drivers
 
@@ -152,7 +152,7 @@ To run Windows MPI applications on a pool of Azure H16r VM nodes, you need to co
 
 ## Example: Intel MPI on a Linux H16r VM pool
 
-To run MPI applications on a pool of Linux H-series nodes, one option is to use the [CentOS-based 7.4 HPC](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/openlogic.centos-hpc?tab=Overview) image from the Azure Marketplace. Linux RDMA drivers and Intel MPI are preinstalled. This image also supports Docker container workloads.
+To run MPI applications on a pool of Linux H-series nodes, one option is to use the [CentOS-based 7.4 HPC](https://azuremarketplace.microsoft.com/marketplace/apps/openlogic.centos-hpc?tab=Overview) image from the Azure Marketplace. Linux RDMA drivers and Intel MPI are preinstalled. This image also supports Docker container workloads.
 
 Using the Batch APIs or Azure portal, create a pool using this image and with the desired number of nodes and scale. The following table shows sample pool settings:
 
@@ -170,4 +170,4 @@ Using the Batch APIs or Azure portal, create a pool using this image and with th
 
 * To run MPI jobs on an Azure Batch pool, see the [Windows](batch-mpi.md) or [Linux](https://blogs.technet.microsoft.com/windowshpc/2016/07/20/introducing-mpi-support-for-linux-on-azure-batch/) examples.
 
-* For examples of GPU workloads on Batch, see the [Batch Shipyard](https://github.com/Azure/batch-shipyard/) recipes.
+* For examples of GPU workloads on Batch, see the [Batch Shipyard](https://github.com/Azure/batch-shipyard/) recipes.