remove hub where feasible

eric-urban · eric-urban · commit 7a2fcc51c18d · 2025-04-28T19:03:18.000-07:00
diff --git a/articles/ai-services/agents/overview.md b/articles/ai-services/agents/overview.md
@@ -81,10 +81,10 @@ At Microsoft, we're committed to the advancement of AI driven by principles that
 
 ## Get started with Azure AI Agent Service
 
-To get started with Azure AI Agent Service, you need to create an Azure AI Foundry hub and an Agent project in your Azure subscription. 
+To get started with Azure AI Agent Service, you need to create an Azure AI Foundry project in your Azure subscription. 
 
 Start with the [quickstart](./quickstart.md) guide if it's your first time using the service.
-1. You can create a AI hub and project with the required resources. 
+1. You can create a project with the required resources. 
 1. After you create a project, you can deploy a compatible model such as GPT-4o.
 1. When you have a deployed model, you can also start making API calls to the service using the SDKs.
 
diff --git a/articles/ai-services/content-understanding/media/quickstarts/foundry-architecture.png b/articles/ai-services/content-understanding/media/quickstarts/foundry-architecture.png
diff --git a/articles/ai-services/content-understanding/quickstart/use-ai-foundry.md b/articles/ai-services/content-understanding/quickstart/use-ai-foundry.md
@@ -22,21 +22,17 @@ To get started, make sure you have the following resources and permissions:
 
 * An Azure subscription. If you don't have an Azure subscription, [create a free account](https://azure.microsoft.com/free/) before you begin.
 
-* An Azure AI Foundry hub is required to manage the resources provisioned in your Content Understanding project, and it must be created in one of the following supported regions: westus, swedencentral, or australiaeast. If you're creating a hub for the first time, *see* [How to create and manage an Azure AI Foundry hub](../../../ai-foundry/how-to/create-azure-ai-resource.md?tabs=portal) to learn more. It's important to note you need the proper permissions to create a hub, or your admin may create one for you.
-
-  * If your role is **Contributor** or **Owner**, you can proceed with creating your own hub.
-
-  * If your role is **Azure AI Developer**, the hub must already be created before you can complete this quickstart. Your user role must be **Azure AI Developer**, **Contributor**, or **Owner** on the hub. For more information, see [hubs](../../../ai-foundry/concepts/ai-resources.md) and [Azure AI roles](../../../ai-foundry/concepts/rbac-azure-ai-foundry.md).
+* An Azure AI Foundry project created in one of the following supported regions: westus, swedencentral, or australiaeast. If you're creating a project for the first time, *see* [How to create an Azure AI Foundry project](../../../ai-foundry/how-to/create-projects.md) to learn more. It's important to note you need the proper permissions to create a project, or your admin may create one for you.
 
 > [!IMPORTANT]
-> If your organization requires you to customize the security of storage resources, the AI Foundry doesn't currently expose all the features that can be configured. Refer to [Azure AI services API access keys](../../../ai-foundry/concepts/encryption-keys-portal.md) to create resources that meet your organizations requirements through the Azure portal. Policy enforced in Azure on the hub scope applies to all projects managed under it. To learn how to utilize customer managed keys, refer to [(Preview) Service-side storage of encrypted data when using customer-managed keys](../../../ai-foundry/concepts/encryption-keys-portal.md#preview-service-side-storage-of-encrypted-data-when-using-customer-managed-keys). Return here when you have resources created.
+> If your organization requires you to customize the security of storage resources, refer to [Azure AI services API access keys](../../../ai-foundry/concepts/encryption-keys-portal.md) to create resources that meet your organizations requirements through the Azure portal. To learn how to utilize customer managed keys, refer to [(Preview) Service-side storage of encrypted data when using customer-managed keys](../../../ai-foundry/concepts/encryption-keys-portal.md#preview-service-side-storage-of-encrypted-data-when-using-customer-managed-keys). 
 
-## Create your first Content Understanding project in the AI Foundry
+## Create your first Content Understanding project in the AI Foundry portal
 
 > [!NOTE]
-> The Content Understanding project type is separate from the Generative AI project type, also available in the AI Foundry.
+> The Content Understanding project type is separate from the Generative AI project type, also available in the AI Foundry portal.
 
-In order to try out [the Content Understanding service in the AI Foundry](https://aka.ms/cu-landing), you have to create a Content Understanding project. You can access Content Understanding from:
+In order to try out [the Content Understanding service in the AI Foundry portal](https://aka.ms/cu-landing), you have to create a Content Understanding project. You can access Content Understanding from:
 
 * The [AI Foundry home page](https://ai.azure.com/)
 
@@ -51,13 +47,9 @@ Once on the Content Understanding page, select `Create a new Content Understandi
 
    :::image type="content" source="../media/quickstarts/cu-landing-page.png" lightbox="../media/quickstarts/cu-landing-page.png" alt-text="Screenshot of Content Understanding page.":::
 
- Follow the steps in the project creation wizard, and start by selecting the hub that you already created. When the hub was created, it should provision an AI Services resource and a blob storage container which are selected by default. You can alternatively create one using the wizard, or the [Azure portal](../how-to/create-multi-service-resource.md). The following diagram illustrates the role of hubs, resources, and projects in the AI Foundry.
-
-   :::image type="content" source="../media/quickstarts/foundry-architecture.png" alt-text="Diagram of hub, project, and resource architecture.":::
-
- Once you complete the setup steps, select `Create project`.
+Follow the steps in the project creation wizard. Once you complete the setup steps, select `Create project`.
 
- ## Sharing your content understanding project
+## Sharing your content understanding project
 
 In order to share and manage access to the Content Understanding project you created, navigate to the Management Center, found at the bottom of the navigation for your project:
 
diff --git a/articles/ai-services/language-service/tutorials/prompt-flow.md b/articles/ai-services/language-service/tutorials/prompt-flow.md
@@ -21,10 +21,6 @@ This tutorial teaches you how to use Language in prompt flow utilizing [Azure AI
 
 - An Azure subscription - <a href="https://azure.microsoft.com/free/cognitive-services" target="_blank">Create one for free</a>.
 
-- You need an Azure AI Foundry hub or permissions to create one. Your user role must be **Azure AI Developer**, **Contributor**, or **Owner** on the hub. For more information, see [hubs](../../../ai-foundry/concepts/ai-resources.md) and [Azure AI roles](../../../ai-foundry/concepts/rbac-azure-ai-foundry.md).
-     - If your role is **Contributor** or **Owner**, you can [create a hub in this tutorial](#create-a-project-in-azure-ai-foundry-portal). 
-     - If your role is **Azure AI Developer**, the hub must already be created. 
-
 - Your subscription needs to be below your [quota limit](../../../ai-foundry/how-to/quota.md) to deploy a new flow in this tutorial.
 
 ## Create a project in Azure AI Foundry portal
diff --git a/articles/ai-services/openai/includes/assistants-ai-studio.md b/articles/ai-services/openai/includes/assistants-ai-studio.md
@@ -18,7 +18,7 @@ ms.author: aahi
 ## Prerequisites
 
 - An Azure subscription - <a href="https://azure.microsoft.com/free/cognitive-services" target="_blank">Create one for free</a>.
-- An [Azure AI hub resource](../../../ai-foundry/how-to/create-azure-ai-resource.md) with a model deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
+- A GTP-4 model deployed. For more information about model deployment, see the [resource deployment guide](../how-to/create-resource.md).
 - An [Azure AI project](../../../ai-foundry/how-to/create-projects.md) in Azure AI Foundry portal.
 
 ## Go to the Azure AI Foundry portal
diff --git a/articles/ai-services/openai/includes/fine-tuning-openai-in-ai-studio.md b/articles/ai-services/openai/includes/fine-tuning-openai-in-ai-studio.md
@@ -16,7 +16,6 @@ ms.custom: include, build-2024
 - Read the [When to use Azure OpenAI fine-tuning guide](../concepts/fine-tuning-considerations.md).
 
 - An Azure subscription - <a href="https://azure.microsoft.com/free/cognitive-services" target="_blank">Create one for free</a>.
-- An [Azure AI hub resource](../../../ai-foundry/how-to/create-azure-ai-resource.md).
 - An [Azure AI project](../../../ai-foundry/how-to/create-projects.md) in Azure AI Foundry portal.
 - An [Azure OpenAI connection](/azure/ai-foundry/how-to/connections-add?tabs=azure-openai#connection-details) to a resource in a [region where fine-tuning is supported](/azure/ai-services/openai/concepts/models#fine-tuning-models).
     > [!NOTE]
diff --git a/articles/ai-services/openai/includes/fine-tuning-unified.md b/articles/ai-services/openai/includes/fine-tuning-unified.md
@@ -23,6 +23,6 @@ If you are only fine-tuning Azure OpenAI models, we recommend the Azure OpenAI c
 
 # [Hub/Project](#tab/hub)
 
-[!INCLUDE [Azure AI Foundry Hub/Project fine-tuning](../includes/fine-tuning-openai-in-ai-studio.md)]
+[!INCLUDE [Azure AI Foundry project fine-tuning](../includes/fine-tuning-openai-in-ai-studio.md)]
 
 ---
diff --git a/articles/ai-services/openai/includes/gpt-v-studio.md b/articles/ai-services/openai/includes/gpt-v-studio.md
@@ -18,7 +18,7 @@ Use this article to get started using [Azure AI Foundry](https://ai.azure.com) t
 - An Azure subscription. <a href="https://azure.microsoft.com/free/ai-services" target="_blank">Create one for free</a>.
 - Once you have your Azure subscription, <a href="/azure/ai-services/openai/how-to/create-resource?pivots=web-portal"  title="Create an Azure OpenAI resource."  target="_blank">create an Azure OpenAI resource </a>.
  For more information about resource creation, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
-- An [Azure AI Foundry hub](/azure/ai-foundry/how-to/create-azure-ai-resource) with your Azure OpenAI resource added as a connection. 
+- An [Azure AI Foundry project](/azure/ai-foundry/how-to/create-projects) with your Azure OpenAI resource added as a connection. 
 
 ## Prepare your media
 
@@ -29,7 +29,7 @@ You need an image to complete this quickstart. You can use this sample image or
 ## Go to Azure AI Foundry
 
 1. Browse to [Azure AI Foundry](https://ai.azure.com/) and sign in with the credentials associated with your Azure OpenAI resource. During or after the sign-in workflow, select the appropriate directory, Azure subscription, and Azure OpenAI resource.
-1. Select the hub you'd like to work in.
+1. Select the project you'd like to work in.
 1. On the left nav menu, select **Models + endpoints** and select **+ Deploy model**.
 1. Choose an image-capable deployment by selecting model name: **gpt-4o** or **gpt-4o-mini**. In the window that appears, select a name and deployment type. Make sure your Azure OpenAI resource is connected. For more information about model deployment, see the [resource deployment guide](/azure/ai-services/openai/how-to/create-resource).
 1. Select **Deploy**.
diff --git a/articles/ai-services/speech-service/speech-container-batch-processing.md b/articles/ai-services/speech-service/speech-container-batch-processing.md
@@ -17,7 +17,7 @@ Use the batch processing kit to complement and scale out workloads on Speech con
 
 :::image type="content" source="media/containers/general-diagram.png" alt-text="A diagram showing an example batch-kit container workflow.":::
 
-The batch kit container is available for free on [GitHub](https://github.com/microsoft/batch-processing-kit) and   [Docker hub](https://hub.docker.com/r/batchkit/speech-batch-kit/tags). You're only [billed](speech-container-overview.md#billing) for the Speech containers you use.
+The batch kit container is available for free on [GitHub](https://github.com/microsoft/batch-processing-kit) and [Docker hub](https://hub.docker.com/r/batchkit/speech-batch-kit/tags). You're only [billed](speech-container-overview.md#billing) for the Speech containers you use.
 
 | Feature  | Description  |
 |---------|---------|
