> For the complete documentation index, see [llms.txt](https://aizen-corp.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aizen-corp.gitbook.io/docs/model-serving-commands/runtime-commands/configure-runtime.md).

# configure runtime

The `configure runtime` command configures a runtime job. It is used to deploy a runtime resource. In the notebook, you will be guided through a template form that will prompt you for various inputs, such as the runtime name, whether it is for Model Training or Model Serving, and the Python pip install requirements.

## Syntax

```
configure runtime
```

## Parameters

To create a runtime job:

1. Select **New** from the **Runtime** drop-down list. Specify a name for the runtime job in the **Runtime Name** field.
2. Select the type, which is either **Model Training** or **Model Serving**.
3. Select a pip install requirements file, if applicable.
4. If applicable, select a trained model name and version to make available within the runtime:
   * For **Model Training**, select datasets to make available within the runtime, if applicable.
   * For **Model Serving**, select a Python module file (.py), and select the function names within the file that are to be served as FastAPI endpoints for inference.
5. Click the **Save Configuration** button to save the runtime job.

## Example

<div align="left"><figure><img src="/files/XmLR1zvdyC3Dg5Qn1SE9" alt=""><figcaption></figcaption></figure></div>


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