Merge pull request #3645 from aahill/ptu-update-2

Ptu update 2

Author: v-regandowner

articles/ai-services/openai/concepts/provisioned-throughput.md

@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: build-2023, build-2023-dataai, devx-track-python, references_regions
 ms.topic: how-to
-ms.date: 02/24/2025
+ms.date: 03/31/2025
 author: mrbullwinkle
 ms.author: mbullwin
 ---
@@ -389,7 +389,7 @@ Global Standard fine-tuned deployments currently support structured outputs only
 - `gpt-4o-mini-2024-07-18`
 - `gpt-4o-2024-08-06`
 
-[Provisioned managed](./deployment-types.md#provisioned) fine-tuned deployments offer [predictable performance](../concepts/provisioned-throughput.md#what-do-the-provisioned-deployment-types-provide) for fine-tuned deployments. As part of public preview, provisioned managed deployments may be created regionally via the data-plane [REST API](../reference.md#data-plane-inference) version `2024-10-01` or newer. See below for examples.
+[Provisioned managed](./deployment-types.md#provisioned) fine-tuned deployments offer [predictable performance](../concepts/provisioned-throughput.md) for fine-tuned deployments. As part of public preview, provisioned managed deployments may be created regionally via the data-plane [REST API](../reference.md#data-plane-inference) version `2024-10-01` or newer. See below for examples.
 
 Provisioned Managed fine-tuned deployments currently support structured outputs only on GPT-4o.
 
@@ -423,7 +423,7 @@ curl -X PUT "https://management.azure.com/subscriptions/<SUBSCRIPTION>/resourceG
 
 #### Scaling a fine-tuned model on Provisioned Managed
 
-To scale a fine-tuned provision managed deployment to increase or decrease PTU capacity, perform the same `PUT` REST API call as you did when [creating the deployment](#creating-a-provisioned-managed-deployment) and provide an updated `capacity` value for the `sku`. Keep in mind, provisioned deployments must scale in [minimum increments](../concepts/provisioned-throughput.md#how-much-throughput-per-ptu-you-get-for-each-model).
+To scale a fine-tuned provision managed deployment to increase or decrease PTU capacity, perform the same `PUT` REST API call as you did when [creating the deployment](#creating-a-provisioned-managed-deployment) and provide an updated `capacity` value for the `sku`. Keep in mind, provisioned deployments must scale in [minimum increments](../how-to/provisioned-throughput-onboarding.md#how-much-throughput-per-ptu-you-get-for-each-model).
 
 For example, to scale the model deployed in the previous section from 25 to 40 PTU, make another `PUT` call and increase the capacity:
 

articles/ai-services/openai/how-to/fine-tuning-deploy.md

@@ -6,13 +6,13 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: openai
 ms.topic: how-to
-author: mrbullwinkle
-ms.author: mbullwin
-ms.date: 03/26/2025
+author: aahill
+ms.author: aahi
+ms.date: 03/31/2025
 recommendations: false
 ---
 
-# Get started using Provisioned Deployments on the Azure OpenAI Service
+# Get started using provisioned deployments on the Azure OpenAI Service
 
 The following guide walks you through key steps in creating a provisioned deployment with your Azure OpenAI Service resource. For more details on the concepts discussed here, see:
 * [Azure OpenAI Provisioned Onboarding Guide](./provisioned-throughput-onboarding.md)
@@ -51,7 +51,7 @@ Provisioned deployments are created via Azure OpenAI resource objects within Azu
 
 ## Create your provisioned deployment - capacity is available
 
-once you have verified your quota, you can create a deployment. To create a provisioned deployment, you can follow these steps; the choices described reflect the entries shown in the screenshot. 
+Once you have verified your quota, you can create a deployment. To create a provisioned deployment, you can follow these steps; the choices described reflect the entries shown in the screenshot. 
 
 :::image type="content" source="../media/provisioned/deployment-screen.png" alt-text="Screenshot of the Azure AI Foundry portal deployment page for a provisioned deployment." lightbox="../media/provisioned/deployment-screen.png":::
 
@@ -80,7 +80,7 @@ Once you have entered the deployment settings, click **Confirm Pricing** to cont
 If you are unsure of the costs, cancel the deployment and proceed once you understand the payment model and underlying costs for provisioned deployment. This step may prevent unexpected, high charges on your payment invoice. Resources to educate yourself include: 
 
 * [Azure Pricing Portal](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) 
-* [Understanding the provisioned throughput purchase model](provisioned-throughput-onboarding.md#understanding-the-provisioned-throughput-purchase-model) 
+* [Understanding the provisioned throughput costs](provisioned-throughput-onboarding.md) 
 
 The image below shows the pricing confirmation you will see. The price shown is an example only.