update steps & screenshots for freshness

Author: msakande

articles/ai-foundry/how-to/quota.md

@@ -2,14 +2,14 @@
 title: Manage and increase quotas for resources
 titleSuffix: Azure AI Foundry
 description: This article provides instructions on how to manage and increase quotas for resources with Azure AI Foundry.
-manager: scottpolly
+manager: nitinme
 ms.service: azure-ai-foundry
 ms.custom:
   - ignite-2023
   - build-2024
   - ignite-2024
 ms.topic: how-to
-ms.date: 05/06/2025
+ms.date: 08/06/2025
 ms.reviewer: siarora
 ms.author: mopeakande
 author: msakande 
@@ -21,7 +21,7 @@ zone_pivot_groups: project-type
 
 ::: zone pivot="hub-project"
 
-Quota provides the flexibility to actively manage the allocation of rate limits across the deployments within your subscription. This article walks through the process of managing quota for your Azure AI Foundry virtual machines and Azure OpenAI in Foundry models.
+Quota provides the flexibility to actively manage the allocation of rate limits across the deployments within your subscription. This article walks through the process of managing quota for your Azure AI Foundry virtual machines and Azure AI Foundry Models.
 
 Azure uses limits and quotas to prevent budget overruns due to fraud, and to honor Azure capacity constraints. It's also a good way to control costs for admins. Consider these limits as you scale for production workloads. 
 
@@ -36,7 +36,7 @@ In this article, you learn about:
 
 ::: zone pivot="fdp-project"
 
-Quota provides the flexibility to actively manage the allocation of rate limits across the deployments within your subscription. This article walks through the process of managing quota for your Azure OpenAI in Foundry models.
+Quota provides the flexibility to actively manage the allocation of rate limits across the deployments within your subscription. This article walks through the process of managing quota for your Azure AI Foundry Models.
 
 Azure uses limits and quotas to prevent budget overruns due to fraud, and to honor Azure capacity constraints. It's also a good way to control costs for admins. Consider these limits as you scale for production workloads. 
 
@@ -79,15 +79,15 @@ To raise the limits for compute, you can [request a quota increase](#view-and-
 
 Available resources include:
 - Dedicated cores per region have a default limit of 24 to 300, depending on your subscription offer type. You can increase the number of dedicated cores per subscription for each VM family. Specialized VM families like NCv2, NCv3, or ND series start with a default of zero cores. GPUs also default to zero cores. 
-- Total compute limit per region has a default limit of 500 per region within a given subscription. The limit can be increased up to a maximum value of 2500 per region. This limit is shared between compute instances, and managed online endpoint deployments. A compute instance is considered a single-node cluster for quota purposes. In order to increase the total compute limit, [open an online customer support request](https://portal.azure.com/#view/Microsoft_Azure_Support/NewSupportRequestV3Blade/callerWorkflowId/5088c408-f627-4398-9aa3-c41cdd93a6eb/callerName/Microsoft_Azure_Support%2FHelpAndSupportOverview.ReactView). 
+- Total compute limit per region has a default limit of 500 per region within a given subscription. The limit can be increased up to a maximum value of 2500 per region. This limit is shared between compute instances, and managed online endpoint deployments. A compute instance is considered a single-node cluster for quota purposes. In order to increase the total compute limit, [open an online customer support request](https://ms.portal.azure.com/#view/Microsoft_Azure_Support/NewSupportRequestV4Blade).
 
 When opening the support request to increase the total compute limit, provide the following information:
 1. Select **Technical** for the issue type. 
 1. Select the subscription that you want to increase the quota for. 
 1. Select **Machine Learning** as the service type. 
 1. Select the resource that you want to increase the quota for.
 1. In the **Summary** field, enter "Increase total compute limits" 
-1. Select **Compute instance** the problem type and **Quota** as the problem subtype.
+1. Select **Compute instance** as the problem type and **Quota** as the problem subtype.
 
     :::image type="content" source="../media/cost-management/quota-azure-portal-support.png" alt-text="Screenshot of the page to submit compute quota requests in Azure portal." lightbox="../media/cost-management/quota-azure-portal-support.png":::
 
@@ -99,9 +99,9 @@ When opening the support request to increase the total compute limit, provide th
 
 ## Azure AI Foundry shared quota 
 
-Azure AI Foundry provides a pool of shared quota that is available for different users across various regions to use concurrently. Depending upon availability, users can temporarily access quota from the shared pool, and use the quota to perform testing for a limited amount of time. The specific time duration depends on the use case. By temporarily using quota from the quota pool, you no longer need to file a support ticket for a short-term quota increase or wait for your quota request to be approved before you can proceed with your workload. 
+Azure AI Foundry provides a pool of shared quota that is available for different users across various regions to use concurrently. Depending upon availability, users can temporarily access quota from the shared pool and use the quota to perform testing for a limited amount of time. The specific time duration depends on the use case. By temporarily using quota from the quota pool, you no longer need to file a support ticket for a short-term quota increase or wait for your quota request to be approved before you can proceed with your workload. 
 
-Use of the shared quota pool is available for testing inferencing for Llama-2, Phi, Nemotron, Mistral, Dolly, and Deci-DeciLM models from the Model Catalog. You should use the shared quota only for creating temporary test endpoints, not production endpoints. For endpoints in production, you should [request dedicated quota](#view-and-request-quotas-in-azure-ai-foundry-portal). Billing for shared quota is usage-based. 
+Use of the shared quota pool is available for testing inferencing for Foundry Models from the model catalog. You should use the shared quota only for creating temporary test endpoints, not production endpoints. For endpoints in production, you should [request dedicated quota](#view-and-request-quotas-in-azure-ai-foundry-portal). Billing for shared quota is usage-based. 
 
 ::: zone pivot="hub-project"
 
@@ -136,24 +136,25 @@ Use quotas to manage model quota allocation between multiple [!INCLUDE [fdp](../
 
     :::image type="content" source="../media/management-center/management-center.png" alt-text="Screenshot of the management center link.":::
 
-1. Select **Quota** from the left menu.
+1. Select **Quota** from the left menu to open the quota view, where you can see the quota for the models in specific Azure regions.
 
-    :::image type="content" source="../media/cost-management/quotas.png" alt-text="Screenshot of the Model and VM quota entries in the management section." lightbox="../media/cost-management/quotas.png":::
+    :::image type="content" source="../media/cost-management/quotas.png" alt-text="Screenshot of the quota entry in the management center section." lightbox="../media/cost-management/quotas.png":::
 
-1. From the quota view, you can see the quota for the models in the selected Azure region. To request quota, select the model and then select **Request quota**. 
-
-    :::image type="content" source="../media/cost-management/model-quota.png" alt-text="Screenshot of the Model quota page in Azure AI Foundry portal." lightbox="../media/cost-management/model-quota.png":::
+1. To request quota from the quota view, expand any of the groupings listed in the deployment column until you see the model deployments and their associated information.
 
+    :::image type="content" source="../media/cost-management/model-quota.png" alt-text="Screenshot of the Model quota page in Azure AI Foundry portal, with one of the groupings expanded.." lightbox="../media/cost-management/model-quota.png":::
+ 
     - Use the **Show all quota** toggle to display all quota or only the currently allocated quota.
-    - Use the **Group by** dropdown to group the list by **Quota type, Region & Model**, **Quota type, Model & Region**, or **None**. The **None** grouping displays a list of model deployments.
-    - Expand the groupings to view information on specific model deployments. While viewing a model deployment, select the **pencil icon** in the **Quota allocation** column to edit the quota allocation for the model deployment.
+    - Use the **Group by** dropdown to group the list by **Quota type, Region & Model**, or **Quota type, Model & Region**, or **None**. The **None** option displays a flat list of model deployments, rather than a nested list.
+    - On the line entry for a given model deployment, select the **pencil icon** in the **Quota allocation** column to edit the quota allocation for the model deployment. 
+    - Select **Request quota** in the **Request quota** column to request increases in quota for the standard deployment type.
     - Use the **charts** along the side of the page to view more details about quota usage. The charts are interactive; hovering over a section of the chart displays more information, and selecting the chart filters the list of models. Selecting the chart legend filters the data displayed in the chart.
-    - Use the **Azure OpenAI Provisioned** link to view information about provisioned models, including a **Capacity calculator**.
+    - Use the **Provisioned Throughput** link to view information about provisioned models, including a **Capacity calculator** that you can use to estimate the number of PTUs needed for your workload.
 
-1. When you select the **VM quota** link, you can view the quota and usage for the virtual machine families in the selected Azure region. To request quota, select the VM family and then select **Request quota**.
+1. When you select the **VM Quota** link, you can view the quota and usage for the virtual machine families in the selected Azure region. To request quota, select the VM family and then select **Request quota**.
 
     > [!TIP]
-    > If you don't see the **VM quota** link, you were viewing a [!INCLUDE [fdp](../includes/fdp-project-name.md)] project when you selected **Management center**. Use the **All resources** link and then select a project where the **Type** contains **Parent resource : name (Hub)**, and then select **Quota** from the left menu.
+    > If you don't see the **VM quota** link, you were viewing a [!INCLUDE [fdp](../includes/fdp-project-name.md)] project when you selected **Management center**. Use the **All resources** link and then select a project where the **Type** contains **Parent resource : name (Hub)**, and then select **Management center** then **Quota** from the left menu.
 
     :::image type="content" source="../media/cost-management/vm-quota.png" alt-text="Screenshot of the VM quota page in Azure AI Foundry portal." lightbox="../media/cost-management/vm-quota.png":::
 
@@ -165,19 +166,20 @@ Use quotas to manage model quota allocation between multiple [!INCLUDE [fdp](../
 
     :::image type="content" source="../media/management-center/management-center.png" alt-text="Screenshot of the management center link.":::
 
-1. Select **Quota** from the left menu.
-
-    :::image type="content" source="../media/cost-management/quotas.png" alt-text="Screenshot of the Model and VM quota entries in the management section." lightbox="../media/cost-management/quotas.png":::
+1. Select **Quota** from the left menu to open the quota view, where you can see the quota for the models in specific Azure regions.
 
-1. From the quota view, you can see the quota for the models in the selected Azure region. To request quota, select the model and then select **Request quota**.
+    :::image type="content" source="../media/cost-management/quotas.png" alt-text="Screenshot of the quota entry in the management center section." lightbox="../media/cost-management/quotas.png":::
 
-    :::image type="content" source="../media/cost-management/project-model-quota.png" alt-text="Screenshot of the Model quota page for a Foundry project in Azure AI Foundry portal." lightbox="../media/cost-management/project-model-quota.png":::
+1. To request quota from the quota view, expand any of the groupings listed in the deployment column until you see the model deployments and their associated information.
+ 
+    :::image type="content" source="../media/cost-management/project-model-quota.png" alt-text="Screenshot of the Model quota page for a Foundry project in Azure AI Foundry portal, with one of the groupings expanded." lightbox="../media/cost-management/project-model-quota.png":::
 
     - Use the **Show all quota** toggle to display all quota or only the currently allocated quota.
-    - Use the **Group by** dropdown to group the list by **Quota type, Region & Model**, **Quota type, Model & Region**, or **None**. The **None** grouping displays a list of model deployments.
-    - Expand the groupings to view information on specific model deployments. While viewing a model deployment, select the **pencil icon** in the **Quota allocation** column to edit the quota allocation for the model deployment.
+    - Use the **Group by** dropdown to group the list by **Quota type, Region & Model**, or **Quota type, Model & Region**, or **None**. The **None** option displays a flat list of model deployments, rather than a nested list.
+    - On the line entry for a given model deployment, select the **pencil icon** in the **Quota allocation** column to edit the quota allocation for the model deployment. 
+    - Select **Request quota** in the **Request quota** column to request increases in quota for the standard deployment type.
     - Use the **charts** along the side of the page to view more details about quota usage. The charts are interactive; hovering over a section of the chart displays more information, and selecting the chart filters the list of models. Selecting the chart legend filters the data displayed in the chart.
-    - Use the **Azure OpenAI Provisioned** link to view information about provisioned models, including a **Capacity calculator**.
+    - Use the **Provisioned Throughput** link to view information about provisioned models, including a **Capacity calculator** that you can use to estimate the number of PTUs needed for your workload.
 
 ::: zone-end