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

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In AI Studio, hubs provide the environment for a team to collaborate and organize work, and help you as a team lead or IT admin centrally set up security settings and govern usage and spend. You can create and manage a hub from the Azure portal or from the AI Studio.
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In this article, you learn how to create and manage a hub in AI Studio with the default settings so you can get started quickly. Do you need to customize security or the dependent resources of your hub? Then use [Azure Portal](create-secure-ai-hub.md) or [template options](create-azure-ai-hub-template.md).
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In this article, you learn how to create and manage a hub in AI Studio with the default settings so you can get started quickly. Do you need to customize security or the dependent resources of your hub? Then use [Azure portal](create-secure-ai-hub.md) or [template options](create-azure-ai-hub-template.md).
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> [!TIP]
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> If you'd like to create your Azure AI Studio hub using a template, see the articles on using [Bicep](create-azure-ai-hub-template.md) or [Terraform](create-hub-terraform.md).
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To use custom environments for Prompt Flow, you're required to configure an Azure Container Registry for your hub. To use Azure Application Insights for Prompt Flow deployments, a configured Azure Application Insights resource is required for your hub. Updating the workspace-attached Azure Container Registry or ApplicationInsights resources may break lineage of previous jobs, deployed inference endpoints, or your ability to rerun earlier jobs in the workspace.
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You can use the Azure Portal, Azure SDK/CLI options, or the infrastructure-as-code templates to update both Azure Application Insights and Azure Container Registry for the hub.
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You can use the Azure portal, Azure SDK/CLI options, or the infrastructure-as-code templates to update both Azure Application Insights and Azure Container Registry for the hub.
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# [Azure portal](#tab/portal)
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