On October 7, 2026, AWS will discontinue support for Amazon Lookout for Equipment. After October 7, 2026, you will no longer be able to access the Lookout for Equipment console or resources. For more information, [see the following](https://aws.amazon.com/blogs/machine-learning/preserve-access-and-explore-alternatives-for-amazon-lookout-for-equipment/). 

# Scheduling inference
<a name="inference"></a>

**Note**  
You can also schedule inference [with the AWS SDK for Python (Boto)](SDK-examples.md#create-model-sdk).

## Starting inference
<a name="starting-inference"></a>

After you create a model, you can use it to monitor your asset in real time. To use your model to monitor your asset, you do the following.

To schedule inference, you specify the model, the schedule, the Amazon S3 location of where the model is reading the data, and where it outputs the results of the inference.

1. Sign in to AWS Management Console and open the Amazon Lookout for Equipment console at [Amazon Lookout for Equipment console](https://console.aws.amazon.com/lookoutequipment/home).

1. Choose **Models**. Then choose the model that monitors your asset.

1. Choose **Schedule inference**.

1. For **Inference schedule name**, specify the name for the inference schedule.

1. For **Model**, choose the model that is monitoring the data coming from your asset.

1. For **S3 location** under **Input data**, specify the Amazon S3 location of the input data coming from the asset.

1. For **Data upload frequency**, specify how often your asset sends the data to the Amazon S3 bucket.

1. For **S3 location** under **Output data**, specify the Amazon S3 location to store the output of the inference results.

1. For **IAM role** under **Access Permissions**, specify the IAM role that provides Amazon Lookout for Equipment with access to your data in Amazon S3.

1. Choose **Schedule inference**.