Merge pull request #125631 from changeworld/patch-147

Fix typo

Author: v-dirichards

articles/databox-online/azure-stack-edge-gpu-overview-gpu-virtual-machines.md

@@ -19,17 +19,17 @@ GPU-accelerated workloads on an Azure Stack Edge Pro GPU device require a GPU VM
 
 ## About GPU VMs
 
-Your Azure Stack Edge devices may be equipped with 1 or 2 of Nvidia's Tesla T4 or Tensor Core A2 GPU. To deploy GPU-accelerated VM workloads on these devices, use GPU-optimized VM sizes. The GPU VM chosen should match with the make of the GPU on your Azure Stack Edge device. For more information, see [Supported N series GPU optimized VMs](azure-stack-edge-gpu-virtual-machine-sizes.md#n-series-gpu-optimized).
+Your Azure Stack Edge devices may be equipped with 1 or 2 of NVIDIA's Tesla T4 or Tensor Core A2 GPU. To deploy GPU-accelerated VM workloads on these devices, use GPU-optimized VM sizes. The GPU VM chosen should match with the make of the GPU on your Azure Stack Edge device. For more information, see [Supported N series GPU optimized VMs](azure-stack-edge-gpu-virtual-machine-sizes.md#n-series-gpu-optimized).
 
-To take advantage of the GPU capabilities of Azure N-series VMs, Nvidia GPU drivers must be installed. The Nvidia GPU driver extension installs appropriate Nvidia CUDA or GRID drivers. You can [install the GPU extensions using templates or via the Azure portal](#gpu-vm-deployment).
+To take advantage of the GPU capabilities of Azure N-series VMs, NVIDIA GPU drivers must be installed. The NVIDIA GPU driver extension installs appropriate NVIDIA CUDA or GRID drivers. You can [install the GPU extensions using templates or via the Azure portal](#gpu-vm-deployment).
 
 You can [install and manage the extension using the Azure Resource Manager templates](azure-stack-edge-gpu-deploy-virtual-machine-install-gpu-extension.md) after VM deployment. In the Azure portal, you can install the GPU extension during or after you deploy a VM; for instructions, see [Deploy GPU VMs on your Azure Stack Edge device](azure-stack-edge-gpu-deploy-gpu-virtual-machine.md).
 
 If your device has a Kubernetes cluster configured, be sure to review [deployment considerations for Kubernetes clusters](#gpu-vms-and-kubernetes) before you deploy GPU VMs.
 
 ## Supported OS and GPU drivers 
 
-The Nvidia GPU driver extensions for Windows and Linux support the following OS versions.
+The NVIDIA GPU driver extensions for Windows and Linux support the following OS versions.
 
 ### Supported OS for GPU extension for Windows