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Copy file name to clipboardExpand all lines: articles/ai-foundry/concepts/ai-resources.md
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@@ -5,7 +5,7 @@ description: This article introduces concepts about Azure AI Foundry hubs for yo
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ms.author: sgilley
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author: sdgilley
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ms.reviewer: deeikele
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ms.date: 08/11/2025
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ms.date: 09/15/2025
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ms.service: azure-ai-foundry
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ms.topic: concept-article
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ms.custom:
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## Create a hub-based project
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To start developing, [create a [!INCLUDE [hub-project-name](../includes/hub-project-name.md)]](../how-to/create-projects.md?pivots=hub-project). Hub-based projects can be accessed in [AI Foundry Portal](https://ai.azure.com/?cid=learnDocs) to build with generative AI tools, and [ML Studio](https://ml.azure.com) to build with tools designed for custom machine learning model training.
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To start developing, [create a [!INCLUDE [hub-project-name](../includes/hub-project-name.md)]](../how-to/hub-create-projects.md). Hub-based projects can be accessed in [AI Foundry Portal](https://ai.azure.com/?cid=learnDocs) to build with generative AI tools, and [ML Studio](https://ml.azure.com) to build with tools designed for custom machine learning model training.
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## Project concepts
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## Next steps
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-[Create a [!INCLUDE [hub-project-name](../includes/hub-project-name.md)]](../how-to/create-projects.md?pivots=hub-project)
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-[Create a [!INCLUDE [hub-project-name](../includes/hub-project-name.md)]](../how-to/hub-create-projects.md)
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-[Quickstart: Analyze images and video in the chat playground](/azure/ai-foundry/openai/gpt-v-quickstart)
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-[Learn more about Azure AI Foundry](../what-is-azure-ai-foundry.md)
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-[Learn more about projects](../how-to/create-projects.md?pivots=hub-project)
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-[Learn more about hub projects](../how-to/hub-create-projects.md)
Copy file name to clipboardExpand all lines: articles/ai-foundry/concepts/management-center.md
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@@ -9,7 +9,7 @@ ms.service: azure-ai-foundry
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ms.custom:
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- ignite-2024
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ms.topic: concept-article #Don't change.
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ms.date: 09/10/2025
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ms.date: 09/15/2025
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#customer intent: As an admin, I want a central location where I can perform governance and management activities.
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---
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:::image type="content" source="../media/management-center/project-management.png" alt-text="Screenshot of the all resources, hub, and project sections of the management studio selected." lightbox="../media/management-center/project-management.png":::
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For more information, see [Create a [!INCLUDE [fdp-project-name](../includes/fdp-project-name.md)]](../how-to/create-projects.md?pivots=fdp-project)
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For more information, see [Create a [!INCLUDE [fdp-project-name](../includes/fdp-project-name.md)]](../how-to/create-projects.md)
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### Manage Azure AI Foundry hubs and hub-based projects
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You can also manage [!INCLUDE [hub](../includes/hub-project-name.md)]s from the management center. They're listed in the __All resources__ section, and when selected are displayed in the left menu.
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For more information, see [Create a [!INCLUDE [hub-project-name](../includes/hub-project-name.md)]](../how-to/create-projects.md?pivots=hub-project).
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For more information, see [Create a [!INCLUDE [hub-project-name](../includes/hub-project-name.md)]](../how-to/hub-create-projects.md).
Copy file name to clipboardExpand all lines: articles/ai-foundry/concepts/planning.md
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@@ -5,7 +5,7 @@ description: Learn how to plan the rollout of Azure AI Foundry across your organ
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ms.service: azure-ai-foundry
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author: sdgilley
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ms.topic: concept-article
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ms.date: 08/11/2025
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ms.date: 09/15/2025
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ms.author: sgilley
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ms.reviewer: deeikele
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---
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When deploying models in AI Foundry, teams can choose between standard and provisioned [deployment types](../../ai-services/openai/how-to/deployment-types.md). Standard deployments are ideal for development and experimentation, offering flexibility and ease of setup. Provisioned deployments are recommended for production scenarios where predictable performance, cost control, and model version pinning are required.
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To support cross-region scenarios and let you access existing model deployments, AI Foundry allows [connections](../how-to/connections-add.md?pivots=fdp-project) to model deployments hosted in other Foundry or Azure OpenAI instances. Connections enable teams to centralize deployments for experimentation while still enabling access from distributed projects. For production workloads, consider for use cases to manage its own deployments to ensure tighter control over model lifecycle, versioning, and rollback strategies.
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To support cross-region scenarios and let you access existing model deployments, AI Foundry allows [connections](../how-to/connections-add.md) to model deployments hosted in other Foundry or Azure OpenAI instances. Connections enable teams to centralize deployments for experimentation while still enabling access from distributed projects. For production workloads, consider for use cases to manage its own deployments to ensure tighter control over model lifecycle, versioning, and rollback strategies.
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To prevent overuse and ensure fair resource allocation, you can apply [Tokens Per Minute (TPM) limits at the deployment level](../../ai-services/openai/concepts/provisioned-throughput.md?tabs=global-ptum). TPM limits help control consumption, protect against accidental spikes, and align usage with project budgets or quotas. Consider setting conservative limits for shared deployments and higher thresholds for critical production services.
Copy file name to clipboardExpand all lines: articles/ai-foundry/how-to/deploy-models-managed-pay-go.md
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ms.service: azure-ai-foundry
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ms.topic: how-to
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ms.date: 06/24/2025
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ms.date: 09/15/2025
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ms.reviewer: tinaem
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reviewer: tinaem
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ms.author: mopeakande
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## Prerequisites
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- 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.
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- 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.
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- If you don't have one, [create a [!INCLUDE [hub](../includes/hub-project-name.md)]](create-projects.md?pivots=hub-project).
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- If you don't have one, [create a [!INCLUDE [hub](../includes/hub-project-name.md)]](hub-create-projects.md).
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-[Azure Marketplace purchases enabled](/azure/cost-management-billing/manage/enable-marketplace-purchases) for your Azure subscription.
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- 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 a*custom role*with the following permissions. User accounts assigned the*Owner* or *Contributor*role for the Azure subscription can also create deployments. For more information on permissions, see[Role-based access control in Azure AI Foundry portal](/azure/ai-foundry/concepts/rbac-azure-ai-foundry).
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- 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 a*custom role*with the following permissions. User accounts assigned the*Owner* or *Contributor*role for the Azure subscription can also create deployments. For more information on permissions, see[Role-based access control in Azure AI Foundry portal](/azure/ai-foundry/concepts/rbac-azure-ai-foundry).
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- On the Azure subscription— **to subscribe the workspace/project to the Azure Marketplace offering**:
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1. If you're not already in your project, select it.
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1. Select **Model catalog** from the left pane.
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1. Select the **Deployment options** filter in the model catalog and choose **Managed compute**.
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1. Filter the list further by selecting the **Collection** and model of your choice. In this article, we use**Cohere Command A**from the [list of supported models](#supported-models) for illustration.
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1. From the model's page, select**Use this model** to open the deployment wizard.
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1. Filter the list further by selecting the **Collection** and model of your choice. In this article, we use**Cohere Command A**from the [list of supported models](#supported-models) for illustration.
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1. From the model's page, select**Use this model** to open the deployment wizard.
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1. Choose from one of the supported VM SKUs for the model. You need to have Azure Machine Learning Compute quota for that SKU in your Azure subscription.
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1. Select **Customize** to specify your deployment configuration for parameters such as the instance count. You can also select an existing endpoint for the deployment or create a new one. For this example, we specify an instance count of**1**and create a new endpoint for the deployment.
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1. Select **Customize** to specify your deployment configuration for parameters such as the instance count. You can also select an existing endpoint for the deployment or create a new one. For this example, we specify an instance count of**1**and create a new endpoint for the deployment.
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:::image type="content" source="../media/deploy-models-managed-pay-go/deployment-configuration.png" alt-text="Screenshot of the deployment configuration screen for a protected model in Azure AI Foundry." lightbox="../media/deploy-models-managed-pay-go/deployment-configuration.png":::
Copy file name to clipboardExpand all lines: articles/ai-foundry/how-to/deploy-models-managed.md
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ms.date: 08/19/2025
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ms.date: 09/15/2025
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ms.reviewer: fasantia
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ms.author: mopeakande
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- An Azure subscription with a valid payment method. Free or trial Azure subscriptions don'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.
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- If you don't have one, [create a [!INCLUDE [hub-project-name](../includes/hub-project-name.md)]](create-projects.md?pivots=hub-project).
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- If you don't have one, [create a [!INCLUDE [hub-project-name](../includes/hub-project-name.md)]](hub-create-projects.md).
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- Foundry [Models from Partners and Community](../model-inference/concepts/models.md#models-from-partners-and-community) require access to Azure Marketplace, while Foundry [Models Sold Directly by Azure](../model-inference/concepts/models.md#models-sold-directly-by-azure) don't have this requirement. Ensure your Azure subscription has the permissions required to subscribe to model offerings in Azure Marketplace. See [Enable Azure Marketplace purchases](/azure/cost-management-billing/manage/enable-marketplace-purchases) to learn more.
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