Fix typos and improve clarity in documentation

Author: ssalgadodev

articles/ai-foundry/how-to/deploy-nvidia-inference-microservice.md

@@ -28,7 +28,7 @@ Get improved TCO (total cost of ownership) and performance with NVIDIA NIMs offe
 
 - An [Azure AI Foundry project](create-projects.md).
 
-- Ensure Marketplace purcharses are enabled for your azure subscription. Learn more about it [here](/azure/cost-management-billing/manage/enable-marketplace-purchases).
+- Ensure Marketplace purchases are enabled for your Azure subscription. Learn more about it [here](/azure/cost-management-billing/manage/enable-marketplace-purchases).
 
 - Azure role-based access controls (Azure RBAC) are used to grant access to operations in Azure AI Foundry portal. To perform the steps in this article, your user account must be assigned a _custom role_ with the following permissions. User accounts assigned the _Owner_ or _Contributor_ role for the Azure subscription can also create NIM deployments. For more information on permissions, see [Role-based access control in Azure AI Foundry portal](../concepts/rbac-ai-foundry.md).
 
@@ -50,7 +50,7 @@ Get improved TCO (total cost of ownership) and performance with NVIDIA NIMs offe
 
 ## NVIDIA NIM PayGo offer on Azure Marketplace by NVIDIA
 
- NVIDIA NIMs available on Azure AI Foundry model catalog can be deployed with a suscription to the [NVIDIA NIM SaaS offer](https://aka.ms/nvidia-nims-plan) on Azure Marketplace. This offer includes a 90-day trial that applies to all NIMs associated with a particular SaaS subscription scoped to a Azure AI Foundry project, and has a PayGo price of $1 per GPU hour post the trial period. 
+ NVIDIA NIMs available on Azure AI Foundry model catalog can be deployed with a subscription to the [NVIDIA NIM SaaS offer](https://aka.ms/nvidia-nims-plan) on Azure Marketplace. This offer includes a 90-day trial that applies to all NIMs associated with a particular SaaS subscription scoped to an Azure AI Foundry project, and has a PayGo price of $1 per GPU hour post the trial period. 
 
  Azure AI Foundry enables a seamless purchase flow of the NVIDIA NIM offering on Marketplace from NVIDIA collection in the model catalog, and further deployment on managed compute.
 
@@ -62,26 +62,26 @@ Get improved TCO (total cost of ownership) and performance with NVIDIA NIMs offe
 
 :::image type="content" source="../media/how-to/deploy-nvidia-inference-microservice/nvidia-collections.png" alt-text="A screenshot showing how to filter by NVIDIA collections models in the catalog." lightbox="../media/how-to/deploy-nvidia-inference-microservice/nvidia-collections.png":::  
 
-1. Select the NVIDIA NIM of your choice. In this article, we will be using **Llama-3.3-70B-Instruct-NIM-microservice** as an example.
+1. Select the NVIDIA NIM of your choice. In this article, we are using **Llama-3.3-70B-Instruct-NIM-microservice** as an example.
 1. Select **Deploy**.
-1. Select one of the NVIDIA GPU based VM SKUs supported for the NIM, based on your intended workload. You will need to have quota in your Azure subscription.
-1. You can then customize your deployment configuration for the instance count, select an existing endpoint or create a new one, etc. For the example in this article, we will consider an instance count of **2** and create a new endpoint. 
+1. Select one of the NVIDIA GPU based VM SKUs supported for the NIM, based on your intended workload. You need to have quota in your Azure subscription.
+1. You can then customize your deployment configuration for the instance count, select an existing endpoint or create a new one, etc. For the example in this article, we consider an instance count of **2** and create a new endpoint. 
 
 :::image type="content" source="../media/how-to/deploy-nvidia-inference-microservice/project-customization.png" alt-text="A screenshot showing project customization options in the deployment wizard." lightbox="../media/how-to/deploy-nvidia-inference-microservice/project-customization.png"::: 
 
 1. Select **Next**
-1. You will then need to review the pricing breakdown for the NIM deployment, terms of use and license agreement associated with the NIM offer. The pricing breakdown will help inform what the aggregated pricing for the NIM software deployed would be, which is a function of number of NVIDIA GPUs in the VM instance selected in the previous steps. In addition to the applicable NIM software price, Azure Compute charges will also apply based on your deployment configuration.
+1. Then, review the pricing breakdown for the NIM deployment, terms of use and license agreement associated with the NIM offer. The pricing breakdown helps to inform what the aggregated pricing for the NIM software deployed would be, which is a function of the number of NVIDIA GPUs in the VM instance that was selected in the previous steps. In addition to the applicable NIM software price, Azure Compute charges also applies based on your deployment configuration.
 
-:::image type="content" source="../media/how-to/deploy-nvidia-inference-microservice/payment-description.png" alt-text="A screenshot showing the necessary user payment agreement detailing how the user will be charged for deploying the models." lightbox="../media/how-to/deploy-nvidia-inference-microservice/payment-description.png":::  
+:::image type="content" source="../media/how-to/deploy-nvidia-inference-microservice/payment-description.png" alt-text="A screenshot showing the necessary user payment agreement detailing how the user is charged for deploying the models." lightbox="../media/how-to/deploy-nvidia-inference-microservice/payment-description.png":::  
 
-1. Click the checkbox to acknowledge understanding of pricing and terms of use, and then, click **Deploy**.
+1. Select the checkbox to acknowledge understanding of pricing and terms of use, and then, select **Deploy**.
 
 :::image type="content" source="../media/how-to/deploy-nvidia-inference-microservice/deploy-nvidia-inference-microservice.png" alt-text="A screenshot showing the deploy model button in the deployment wizard." lightbox="../media/how-to/deploy-nvidia-inference-microservice/deploy-nim.png"::: 
 
 
 ## Consume NVIDIA NIM deployments
 
-After your deployment has been successfully created, you can go to **Models + Endpoints** under My assets in your AI Foundry project, select your deployment under "Model deployments" and navigate to the Test tab for sample inference to the endpoint. You can also go to the Chat Playground by clicking **Open in Playground** in Deployment Details tab, to be able to modify parameters for the inference requests.   
+After your deployment is successfully created, you can go to **Models + Endpoints** under My assets in your Azure AI Foundry project, select your deployment under "Model deployments" and navigate to the Test tab for sample inference to the endpoint. You can also go to the Chat Playground by selecting **Open in Playground** in Deployment Details tab, to be able to modify parameters for the inference requests.   
 
 NVIDIA NIMs on Foundry expose an OpenAI compatible API, learn more about the payload supported [here](https://docs.nvidia.com/nim/large-language-models/latest/api-reference.html#). The 'model' parameter for NIMs on Foundry is set to a default value within the container, and is not required to pass through in the payload to your online endpoint. The **Consume** tab of the NIM deployment on Foundry includes code samples for inference with the target URL of your deployment. You can also consume NIM deployments using the Azure AI Model Inference SDK. 
 
@@ -92,8 +92,8 @@ Redeploy to get the latest version of NIM from NVIDIA on Foundry.
 
 ## Network Isolation support for NIMs
 
-NVIDIA ensures the security and reliability of NVIDIA NIM container images through best-in-class vulnerability scanning, rigorous patch management, and transparent processes. Learn the details [here](https://docs.nvidia.com/ai-enterprise/planning-resource/security-for-azure-ai-foundry/latest/introduction.html). Microsoft works with NVIDIA to get the latest patches of the NIMs to deliver secure, stable, and reliable production-grade software within Azure AI Foundry.
-Users can refer to the last updated time for the NIM in the model overview page, and will have to redeploy to get the latest version of NIM from NVIDIA on Foundry.
+NVIDIA ensures the security and reliability of NVIDIA NIM container images through best-in-class vulnerability scanning, rigorous patch management, and transparent processes. Learn the details [here](https://docs.nvidia.com/ai-enterprise/planning-resource/security-for-azure-ai-foundry/latest/introduction.html). Microsoft works with NVIDIA to get the latest patches of the NIMs to deliver secure, stable, and reliable production-grade software within AI Foundry.
+Users can refer to the last updated time for the NIM in the model overview page, and you can redeploy to get the latest version of NIM from NVIDIA on Foundry.
 
 While NIMs are in preview on Foundry, workspaces with Public Network Access disabled will have a limitation of being able to create only one successful deployment in the private workspace or project. Note, there can only be a single active deployment in a private workspace, attempts to create more active deployments will end in failure.