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articles/ai-foundry/concepts/deployments-overview.md

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@@ -35,7 +35,7 @@ Azure AI Foundry offers four different deployment options:
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| Deployment resource | Azure OpenAI resource | Azure AI services resource | AI project resource | AI project resource |
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| Best suited when | You are planning to use only OpenAI models | You are planning to take advantage of the flagship models in Azure AI catalog, including OpenAI. | You are planning to use a single model from a specific provider (excluding OpenAI). | If you plan to use open models and you have enough compute quota available in your subscription. |
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| Billing bases | Token usage & PTU | Token usage | Token usage<sup>1</sup> | Compute core hours<sup>2</sup> |
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| Deployment instructions | [Deploy to Azure OpenAI Service](../how-to/deploy-models-openai.md) | [Deploy to Azure AI model inference](../ai-services/how-to/create-model-deployments.md) | [Deploy to Serverless API](../how-to/deploy-models-serverless.md) | [Deploy to Managed compute](../how-to/deploy-models-managed.md) |
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| Deployment instructions | [Deploy to Azure OpenAI Service](../how-to/deploy-models-openai.md) | [Deploy to Azure AI model inference](../model-inference/how-to/create-model-deployments.md) | [Deploy to Serverless API](../how-to/deploy-models-serverless.md) | [Deploy to Managed compute](../how-to/deploy-models-managed.md) |
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<sup>1</sup> A minimal endpoint infrastructure is billed per minute. You aren't billed for the infrastructure that hosts the model in pay-as-you-go. After you delete the endpoint, no further charges accrue.
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## Related content
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* [Configure your AI project to use Azure AI model inference](../../ai-foundry/model-inference/how-to/quickstart-ai-project.md)
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* [Add and configure models to Azure AI model inference](../ai-services/how-to/create-model-deployments.md)
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* [Add and configure models to Azure AI model inference](../model-inference/how-to/create-model-deployments.md)
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* [Deploy Azure OpenAI models with Azure AI Foundry](../how-to/deploy-models-openai.md)
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* [Deploy open models with Azure AI Foundry](../how-to/deploy-models-open.md)
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* [Model catalog and collections in Azure AI Foundry portal](../how-to/model-catalog-overview.md)

articles/ai-foundry/how-to/configure-private-link.md

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## Next steps
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- [Create an Azure AI Foundry project](create-projects.md)
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- [Learn more about Azure AI Foundry](../what-is-ai-studio.md)
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- [Learn more about Azure AI Foundry](../what-is-ai-foundry.md)
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- [Learn more about Azure AI Foundry hubs](../concepts/ai-resources.md)
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- [Troubleshoot secure connectivity to a project](troubleshoot-secure-connection-project.md)

articles/ai-foundry/how-to/connections-add.md

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1. Browse for and select your Azure AI Search service from the list of available services and then select the type of __Authentication__ to use for the resource. Select __Add connection__.
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> [!TIP]
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> Different connection types support different authentication methods. Using Microsoft Entra ID might require specific Azure role-based access permissions for your developers. For more information, visit [Role-based access control](../concepts/rbac-ai-studio.md#scenario-connections-using-microsoft-entra-id-authentication).
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> Different connection types support different authentication methods. Using Microsoft Entra ID might require specific Azure role-based access permissions for your developers. For more information, visit [Role-based access control](../concepts/rbac-ai-foundry.md#scenario-connections-using-microsoft-entra-id-authentication).
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:::image type="content" source="../media/data-connections/connection-add-azure-ai-search-connect-entra-id.png" alt-text="Screenshot of the page to select the Azure AI Search service that you want to connect to." lightbox="../media/data-connections/connection-add-azure-ai-search-connect-entra-id.png":::
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articles/ai-foundry/how-to/create-azure-ai-hub-template.md

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## Next steps
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- [Create an Azure AI Foundry project](create-projects.md)
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- [Learn more about Azure AI Foundry](../what-is-ai-studio.md)
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- [Learn more about Azure AI Foundry](../what-is-ai-foundry.md)
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- [Learn more about hubs](../concepts/ai-resources.md)

articles/ai-foundry/how-to/create-azure-ai-resource.md

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:::image type="content" source="../media/how-to/hubs/studio-user-management.png" alt-text="Screenshot of the users area of the management center for a hub." lightbox="../media/how-to/hubs/studio-user-management.png":::
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For custom role assignments, use **Access control (IAM)** within the Azure portal. Learn more about hub [role-based access control](../concepts/rbac-ai-studio.md).
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For custom role assignments, use **Access control (IAM)** within the Azure portal. Learn more about hub [role-based access control](../concepts/rbac-ai-foundry.md).
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To add grant users permissions from the Azure portal:
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1. Select **+ Add** to add users to your hub.
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## Related content
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- [Create a project](create-projects.md)
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- [Learn more about Azure AI Foundry](../what-is-ai-studio.md)
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- [Learn more about Azure AI Foundry](../what-is-ai-foundry.md)
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- [Learn more about hubs](../concepts/ai-resources.md)

articles/ai-foundry/how-to/create-projects.md

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## Related content
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- [Deploy an enterprise chat web app](../tutorials/deploy-chat-web-app.md)
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- [Learn more about Azure AI Foundry](../what-is-ai-studio.md)
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- [Learn more about Azure AI Foundry](../what-is-ai-foundry.md)
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- [Learn more about hubs](../concepts/ai-resources.md)

articles/ai-foundry/how-to/create-secure-ai-hub.md

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## Next steps
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- [Create a project](create-projects.md)
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- [Learn more about Azure AI Foundry](../what-is-ai-studio.md)
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- [Learn more about Azure AI Foundry](../what-is-ai-foundry.md)
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- [Learn more about Azure AI Foundry hubs](../concepts/ai-resources.md)

articles/ai-foundry/how-to/deploy-models-cohere-rerank.md

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- An [Azure AI Foundry project](../how-to/create-projects.md).
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- Azure role-based access controls 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-studio.md).
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- Azure role-based access controls 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).
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### Create a new deployment
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The following steps demonstrate the deployment of Cohere Rerank v3.5, but you can use the same steps to deploy the other Cohere rerank models by replacing the model name.
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## Related content
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- [What is Azure AI Foundry?](../what-is-ai-studio.md)
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- [What is Azure AI Foundry?](../what-is-ai-foundry.md)
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- [Azure AI FAQ article](../faq.yml)
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- [Region availability for models in serverless API endpoints](deploy-models-serverless-availability.md)

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