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Co-authored-by: David Huntley <[email protected]>

Author: aahill

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

@@ -14,7 +14,7 @@ recommendations: false
 
 # Azure OpenAI provisioned August 2024 update 
 
-On August 12, 2024, Microsoft launched improvements to its Provisioned Throughput offering that address customer feedback on usability and operational agility, and that open new payment options and deployment scenarios.
+In mid-August, 2024, Microsoft is launching improvements to its Provisioned Throughput offering that address customer feedback on usability and operational agility, and that open new payment options and deployment scenarios.
 
 This article is intended for existing users of the provisioned throughput offering. New customers should refer to the [Azure OpenAI provisioned onboarding guide](../how-to/provisioned-throughput-onboarding.md).
 

articles/ai-services/openai/how-to/provisioned-get-started.md

@@ -21,7 +21,7 @@ The following guide walks you through key steps in creating a provisioned deploy
 ## Prerequisites
 
 - An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services?azure-portal=true)
-- Assignment of the Contributor or Cognitive Services Contributor role to user in the subscription.
+- Azure Contributor or Cognitive Services Contributor role 
 - Access to Azure OpenAI Studio
 
 ## Obtain/verify PTU quota availability.
@@ -48,7 +48,7 @@ Additional quota can be requested by clicking the Request Quota link to the righ
 Provisioned Throughput deployments are created via Azure OpenAI resource objects within Azure. You must have an Azure OpenAI resource in each region where you intend to create a deployment. Use the Azure portal to [create a resource](./create-resource.md) in a region with available quota, if required.  
 
 > [!NOTE]
-> Azure OpenAI resources can be used with all types of Azure OpenAI deployments. There is no requirement to create dedicated resources for your provisioned deployment. 
+> Azure OpenAI resources can be support multiple types of Azure OpenAI deployments at the same time.  It is not necessary to dedicate new resources for your provisioned deployments. 
 
 ## Create your provisioned deployment - capacity is available
 

articles/ai-services/openai/how-to/provisioned-throughput-onboarding.md

@@ -84,7 +84,7 @@ Customers that require long-term usage of provisioned deployments, however, migh
 
 ## Azure Reservations for Azure OpenAI Provisioned   
 
-Discounts on top of the hourly usage price might be obtained by purchasing an Azure Reservation for Azure OpenAI Provisioned. An Azure Reservation is a term-discounting mechanism shared by many Azure products. For example Compute and Cosmos DB. For Azure OpenAI Provisioned, it provides a discount for committing to payment for fixed number of PTUs for a one-month or one-year period.  
+Discounts on top of the hourly usage price may be obtained by purchasing an Azure Reservation for Azure OpenAI Provisioned. An Azure Reservation is a term-discounting mechanism shared by many Azure products. For example, Compute and Cosmos DB. For Azure OpenAI Provisioned, the reservation provides a discount for committing to payment for fixed number of PTUs for a one-month or one-year period.  
 
 * Azure Reservations are purchased via the Azure portal, not Azure OpenAI Studio  Link to Azure reservation portal. 
 
@@ -109,7 +109,7 @@ Discounts on top of the hourly usage price might be obtained by purchasing an Az
 
 ## Important: Sizing Azure OpenAI Provisioned Reservations 
 
-The PTU amounts in reservation purchases are independent of all quota allocations or deployments. It is possible to purchase a reservation for more PTUs than you have in quota, or can deploy for the desired region, model, or version.   Credits for over-purchasing a reservation are limited, and customers must take steps to ensure they maintain their reservation sizes in line with their deployed PTUs.  
+The PTU amounts in reservation purchases are independent of PTUs allocated in quota or used in deployments. It is possible to purchase a reservation for more PTUs than you have in quota, or can deploy for the desired region, model, or version.   Credits for over-purchasing a reservation are limited, and customers must take steps to ensure they maintain their reservation sizes in line with their deployed PTUs.  
 
 The best practice is to always purchase a reservation after deployments have been created.  This prevents purchasing a reservation and then finding out that the required capacity is not available for the desired region or model. 
 

articles/ai-services/openai/includes/hourly-ptu-description.md

@@ -14,4 +14,4 @@ author: aahill
 |Term discounts via Azure Reservations | Azure reservations provide substantial discounts over the hourly rate for one month and one year terms, and provide flexible scopes that minimize administration and associated with today’s resource-bound commitments.|
 | Default provisioned-managed quota in many regions | Get started quickly in new regions without having to first request quota |
 | Flexible choice of payment model for existing provisioned customers | Customers with commitments can stay on the commitment model at least through the end of 2024, and can choose to migrate existing commitments to hourly/reservations via a self-service or managed process. |
-| Supports latest model generations | The hourly/reservation model will be required to deploy models released after June 28, 2024. |
+| Supports latest model generations | The hourly/reservation model will be required to deploy models released after August 1, 2024. |