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Grammar and punctuation fixes.

Author: AnnaMHuff

articles/container-apps/serverless-gpu-nim.md

@@ -72,7 +72,7 @@ This tutorial uses a premium instance of Azure Container Registry to improve col
 Next, pull the image from NVIDIA GPU Cloud and push to Azure Container Registry.
 
 > [!NOTE]
-> NVIDIA NICs each has their own hardware requirements. Make sure the GPU type you select supports the [NIM](https://build.nvidia.com/models?filters=nimType%3Anim_type_run_anywhere&q=llama) of your choice. The Llama3 NIM used in this tutorial can run on NVIDIA A100 GPUs.
+> NVIDIA NICs each have their own hardware requirements. Make sure the GPU type you select supports the [NIM](https://build.nvidia.com/models?filters=nimType%3Anim_type_run_anywhere&q=llama) of your choice. The Llama3 NIM used in this tutorial can run on NVIDIA A100 GPUs.
 
 1. Authenticate to the NVIDIA container registry.
 
@@ -110,7 +110,7 @@ Next, pull the image from NVIDIA GPU Cloud and push to Azure Container Registry.
 
 ## Enable artifact streaming (recommended but optional)
 
-When your container app runs, it pulls the container from your container registry. When you have larger images like in the case of AI workloads, this image pull may take some time. By enabling artifact streaming, you reduce the time needed , and your container app can take a long time to start if you don't enable artifact streaming. Use the following steps to enable artifact streaming.
+When your container app runs, it pulls the container from your container registry. When you have larger images like in the case of AI workloads, this image pull may take some time. By enabling artifact streaming, you reduce the time needed, and your container app can take a long time to start if you don't enable artifact streaming. Use the following steps to enable artifact streaming.
 
 > [!NOTE]
 > The following commands can take a few minutes to complete.