Merge pull request #5181 from msakande/update-links-to-hub-project

Add limitation for using hub-only project

Author: JamesJBarnett

articles/ai-foundry/how-to/deploy-models-managed.md

@@ -22,6 +22,14 @@ Deployment of a large language model (LLM) makes it available for use in a websi
 
 In this article, you learn how to deploy models using the Azure Machine Learning SDK. The article also covers how to perform inference on the deployed model.
 
+## Prerequisites
+
+- An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
+
+- If you don't have one, [create a [!INCLUDE [hub-project-name](../includes/hub-project-name.md)]](create-projects.md?pivots=hub-project).
+
+- Marketplace purchases enabled for your Azure subscription. Learn more [here](/azure/cost-management-billing/manage/enable-marketplace-purchases).
+
 ## Get the model ID
 
 You can deploy managed compute models using the Azure Machine Learning SDK, but first, let's browse the model catalog and get the model ID you need for deployment.

articles/ai-foundry/how-to/deploy-models-serverless-availability.md

@@ -28,9 +28,6 @@ Certain models in the model catalog can be deployed as a standard deployment. Th
 
 Standard billing is available only to users whose Azure subscription belongs to a billing account in a country/region where the model provider has made the offer available (see "offer availability region" in the table in the next section). If the offer is available in the relevant region, the user then must have a Hub/Project in the Azure region where the model is available for deployment or fine-tuning, as applicable (see "Hub/Project Region" columns in the following tables).
 
-> [!NOTE]
-> If you plan to access your deployed models in Azure Machine Learning Studio, you must use a **[!INCLUDE [hub](../includes/hub-project-name.md)]**, rather than a **[!INCLUDE [fdp](../includes/fdp-project-name.md)]**. For more information, see [Project types](../what-is-azure-ai-foundry.md#project-types).
-
 
 [!INCLUDE [region-availability-maas](../includes/region-availability-maas.md)]
 

articles/ai-foundry/how-to/deploy-models-serverless-connect.md

@@ -35,7 +35,7 @@ The need to consume a standard deployments endpoint in a different project or hu
 
 - An [Azure AI Foundry hub](create-azure-ai-resource.md), if you're using a **[!INCLUDE [hub](../includes/hub-project-name.md)]**. A **[!INCLUDE [fdp](../includes/fdp-project-name.md)]** does not use a hub. For more information, see [Project types](../what-is-azure-ai-foundry.md#project-types).
 
-- An [Azure AI Foundry project](create-projects.md).
+- If you don't have one, [create a [!INCLUDE [hub](../includes/hub-project-name.md)]](create-projects.md?pivots=hub-project).
 
 - A model [deployed to a standard deployments](deploy-models-serverless.md). This article assumes that you previously deployed the **Meta-Llama-3-8B-Instruct** model. To learn how to deploy this model as a standard deployment, see [Deploy models as standard deployments](deploy-models-serverless.md).
 

articles/ai-foundry/how-to/deploy-models-serverless.md

@@ -27,7 +27,7 @@ This article uses a Meta Llama model deployment for illustration. However, you c
 
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
 
-- An [Azure AI Foundry project](create-projects.md).
+- If you don't have one, [create a [!INCLUDE [hub](../includes/hub-project-name.md)]](create-projects.md?pivots=hub-project).
 
 - Ensure that the **Deploy models to Azure AI model inference service** feature is turned off in the Azure AI Foundry portal. When this feature is on, standard deployments are not available for deployment when using the portal.
 

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

@@ -25,7 +25,7 @@ NVIDIA inference microservices are containers built by NVIDIA for optimized pret
 
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
 
-- An [Azure AI Foundry project](create-projects.md).
+- If you don't have one, [create a [!INCLUDE [hub](../includes/hub-project-name.md)]](create-projects.md?pivots=hub-project).
 
 - Marketplace purchases enabled for your Azure subscription. Learn more [here](/azure/cost-management-billing/manage/enable-marketplace-purchases).
 

articles/ai-foundry/how-to/healthcare-ai/deploy-cxrreportgen.md

@@ -37,7 +37,7 @@ The CXRReportGen model combines a radiology-specific image encoder with a large
 
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
 
-- An [Azure AI Foundry project](../create-projects.md).
+- If you don't have one, [create a [!INCLUDE [hub](../../includes/hub-project-name.md)]](../create-projects.md?pivots=hub-project).
 
 - 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 the __Azure AI Developer role__ on the resource group. For more information on permissions, see [Role-based access control in Azure AI Foundry portal](../../concepts/rbac-ai-foundry.md).
 

articles/ai-foundry/how-to/healthcare-ai/deploy-medimageinsight.md

@@ -35,7 +35,8 @@ An embedding model is capable of serving as the basis of many different solution
 
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
 
-- An [Azure AI Foundry project](../create-projects.md).
+- If you don't have one, [create a [!INCLUDE [hub](../../includes/hub-project-name.md)]](../create-projects.md?pivots=hub-project).
+
 
 - 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 the __Azure AI Developer role__ on the resource group. For more information on permissions, see [Role-based access control in Azure AI Foundry portal](../../concepts/rbac-ai-foundry.md).
 

articles/ai-foundry/how-to/healthcare-ai/deploy-medimageparse.md

@@ -47,7 +47,7 @@ Similar to the MedImageParse model, MedImageParse 3D uses a combination of a tex
 
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
 
-- An [Azure AI Foundry project](../create-projects.md).
+- If you don't have one, [create a [!INCLUDE [hub](../../includes/hub-project-name.md)]](../create-projects.md?pivots=hub-project).
 
 - 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 the __Azure AI Developer role__ on the resource group. For more information on permissions, see [Role-based access control in Azure AI Foundry portal](../../concepts/rbac-ai-foundry.md).
 

articles/ai-foundry/includes/region-availability-maas.md

@@ -10,6 +10,8 @@ ms.date: 03/24/2024
 ms.custom: include, references_regions
 ---
 
+[!INCLUDE [uses-hub-only](uses-hub-only.md)]
+
 ### AI21 models
 
 | Model  |Offer Availability Region  | Hub/Project Region for Deployment  | Hub/Project Region for Fine tuning  |

articles/ai-foundry/toc.yml

@@ -72,10 +72,8 @@ items:
           href: how-to/develop/semantic-kernel.md
   - name: Deploy Azure OpenAI in Foundry Models
     items:
-    - name: Azure OpenAI in Azure AI Foundry portal
-      href: azure-openai-in-azure-ai-foundry.md
     - name: Use Azure OpenAI in Azure AI Foundry portal
-      href: ai-services/how-to/connect-azure-openai.md
+      href: ai-services/how-to/connect-azure-openai.md?context=/azure/ai-foundry/context/context
     - name: Supported Azure OpenAI models
       href: ../ai-services/openai/concepts/models.md?context=/azure/ai-foundry/context/context
     - name: Azure OpenAI deployment types