# Render V-Ray standalone scenes on Deadline Cloud
<a name="examples-jb-vray-render"></a>

The [vray\_render](https://github.com/aws-deadline/deadline-cloud-samples/tree/mainline/job_bundles/vray_render) job bundle creates a V-Ray rendering job for Deadline Cloud.

To run this bundle, you need:
+ A V-Ray conda package hosted on a conda channel. Use the [V-Ray conda recipe](https://github.com/aws-deadline/deadline-cloud-samples/tree/mainline/conda_recipes/vray) in the samples repository to build the package.
+ A sample `.vrscene` file and its dependencies. The [Chaos ENVISION documentation samples](https://docs.chaos.com/display/ENVISION/Sample+Scenes) include `.vrscene` files in Sample Scene 01.

Submit the bundle with the GUI submitter:

```
deadline bundle gui-submit vray_render
```

Or submit a Chaos ENVISION sample from the CLI:

```
SAMPLE_DIR={{path-to-sample}}
deadline bundle submit vray_render \
    -p VraySceneFile="$SAMPLE_DIR"/Building.vrscene \
    -p InputAssetDir="$SAMPLE_DIR"/Building.data
```

For all customization options, see the Chaos [V-Ray Standalone Command Line Options](https://docs.chaos.com/display/VNS/V-Ray+Standalone+Command+Line+Options) documentation.

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for AWS Deadline Cloud. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query deadline-cloud` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).