Merge pull request #51056 from ksasagit/patch-1

Please write NVIDIA in all caps

Author: ktoliver

articles/aks/gpu-cluster.md

@@ -51,7 +51,7 @@ Get the credentials for your AKS cluster using the [az aks get-credentials][az-a
 az aks get-credentials --resource-group myResourceGroup --name myAKSCluster
 ```
 
-## Install nVidia drivers
+## Install NVIDIA drivers
 
 Before the GPUs in the nodes can be used, you must deploy a DaemonSet for the NVIDIA device plugin. This DaemonSet runs a pod on each node to provide the required drivers for the GPUs.
 
@@ -109,7 +109,7 @@ spec:
             path: /var/lib/kubelet/device-plugins
 ```
 
-Now use the [kubectl apply][kubectl-apply] command to create the DaemonSet and confirm the nVidia device plugin is created successfully, as shown in the following example output:
+Now use the [kubectl apply][kubectl-apply] command to create the DaemonSet and confirm the NVIDIA device plugin is created successfully, as shown in the following example output:
 
 ```console
 $ kubectl apply -f nvidia-device-plugin-ds.yaml
@@ -187,7 +187,7 @@ To see the GPU in action, schedule a GPU-enabled workload with the appropriate r
 Create a file named *samples-tf-mnist-demo.yaml* and paste the following YAML manifest. The following job manifest includes a resource limit of `nvidia.com/gpu: 1`:
 
 > [!NOTE]
-> If you receive a version mismatch error when calling into drivers, such as, CUDA driver version is insufficient for CUDA runtime version, review the nVidia driver matrix compatibility chart - [https://docs.nvidia.com/deploy/cuda-compatibility/index.html](https://docs.nvidia.com/deploy/cuda-compatibility/index.html)
+> If you receive a version mismatch error when calling into drivers, such as, CUDA driver version is insufficient for CUDA runtime version, review the NVIDIA driver matrix compatibility chart - [https://docs.nvidia.com/deploy/cuda-compatibility/index.html](https://docs.nvidia.com/deploy/cuda-compatibility/index.html)
 
 ```yaml
 apiVersion: batch/v1