# Resource Commands

Use resource commands to configure resources to run ML jobs. Data sinks, datasets, training experiments, and prediction deployments all require resources to run their jobs.  The CPU, memory, or GPU resources may be configured for each data sink, dataset, training experiment, or prediction deployment before issuing the start command.

If resources are not configured, default resource settings will be applied. If resources are unavailable, the respective jobs will remain scheduled until resources are available.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://aizen-corp.gitbook.io/docs/model-serving-commands/resource-commands.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
