# Using training plans for SageMaker inference endpoints
<a name="training-plan-utilization-for-inference-endpoints"></a>

You can use a SageMaker training plans to deploy inference endpoints with guaranteed GPU capacity. When you create a training plan, set the target resource to "endpoint". This secures compute instances specifically for inference workloads. 

**Note**  
The training plan must be in the `Active` status to be used by an inference endpoint. The endpoint only functions during the reservation window specified in the training plan.

**Important**  
When the training plan reservation expires, endpoint behavior depends on the `CapacityReservationPreference` setting. If you set this to `capacity-reservations-only`, the endpoint stops serving traffic and invocations fail with a capacity error. To resume service, you must either create a new training plan reservation and update the endpoint configuration, or update the endpoint to use on-demand capacity.

**Topics**
+ [Deploy an inference endpoint using the API, AWS CLI](use-training-plan-for-inference-endpoints-using-api-cli-sdk.md)