# Configure model auto scaling with the console


**To configure auto scaling for a model (console)**

1. Open the Amazon SageMaker AI console at [https://console.aws.amazon.com/sagemaker/](https://console.aws.amazon.com/sagemaker/).

1. On the navigation pane, choose **Inference**, and then choose **Endpoints**. 

1. Choose your endpoint, and then for **Endpoint runtime settings**, choose the variant.

1. Choose **Configure auto scaling**.

1. On the **Configure variant automatic scaling** page, for **Variant automatic scaling**, do the following:

   1. For **Minimum instance count**, type the minimum number of instances that you want the scaling policy to maintain. At least 1 instance is required.

   1. For **Maximum instance count**, type the maximum number of instances that you want the scaling policy to maintain.

1. For **Built-in scaling policy**, do the following:

   1. For the **Target metric**, `SageMakerVariantInvocationsPerInstance` is automatically selected for the metric and cannot be changed.

   1. For the **Target value**, type the average number of invocations per instance per minute for the model. To determine this value, follow the guidelines in [Load testing](endpoint-scaling-loadtest.md).

   1. (Optional) For **Scale-in cool down (seconds)** and **Scale-out cool down (seconds)**, enter the amount of time, in seconds, for each cool down period.

   1. (Optional) Select **Disable scale in** if you don’t want auto scaling to terminate instances when traffic decreases.

1. Choose **Save**.

This procedure registers a model as a scalable target with Application Auto Scaling. When you register a model, Application Auto Scaling performs validation checks to ensure the following:
+ The model exists
+ The permissions are sufficient
+ You aren't registering a variant with an instance that is a burstable performance instance such as T2
**Note**  
SageMaker AI doesn't support auto scaling for burstable instances such as T2, because they already allow for increased capacity under increased workloads. For information about burstable performance instances, see [Amazon EC2 instance types](https://aws.amazon.com/ec2/instance-types/).