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

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@@ -106,7 +106,7 @@ The next section covers the steps for subscribing your project to a model offeri
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## Subscribe your project to the model offering
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Serverless API endpoints can deploy both Microsoft and non-Microsoft offered models. For Microsoft models (such as Phi-3 models), you don't need to create an Azure Marketplace subscription and you can [deploy them to serverless API endpoints directly](#deploy-the-model-to-a-serverless-api-endpoint) to consume their predictions. For non-Microsoft models, you need to create the subscription first. If it's your first time deploying the model in the workspace, you have to subscribe your workspace for the particular model offering from the Azure Marketplace. Each workspace has its own subscription to the particular Azure Marketplace offering of the model, which allows you to control and monitor spending.
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Serverless API endpoints can deploy both Microsoft and non-Microsoft offered models. For Microsoft models (such as Phi-3 models), you don't need to create an Azure Marketplace subscription and you can [deploy them to serverless API endpoints directly](#deploy-the-model-to-a-serverless-api-endpoint) to consume their predictions. For non-Microsoft models, you need to create the subscription first. If it's your first time deploying the model in the project, you have to subscribe your project for the particular model offering from the Azure Marketplace. Each project has its own subscription to the particular Azure Marketplace offering of the model, which allows you to control and monitor spending.
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> [!NOTE]
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> Models offered through the Azure Marketplace are available for deployment to serverless API endpoints in specific regions. Check [Model and region availability for Serverless API deployments](deploy-models-serverless-availability.md) to verify which models and regions are available. If the one you need is not listed, you can deploy to a workspace in a supported region and then [consume serverless API endpoints from a different workspace](deploy-models-serverless-connect.md).

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