Skip to content

Commit c01d3b6

Browse files
Merge pull request #283832 from santiagxf/santiagxf-patch-4
Update deploy-models-serverless.md
2 parents 5c74880 + 3570586 commit c01d3b6

File tree

1 file changed

+1
-1
lines changed

1 file changed

+1
-1
lines changed

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

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -106,7 +106,7 @@ The next section covers the steps for subscribing your project to a model offeri
106106
107107
## Subscribe your project to the model offering
108108
109-
For non-Microsoft models offered through the Azure Marketplace, you can deploy them to serverless API endpoints to consume their predictions. 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.
109+
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.
110110
111111
> [!NOTE]
112112
> 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).

0 commit comments

Comments
 (0)