diff --git a/website/docs/docs/build/python-models.md b/website/docs/docs/build/python-models.md
index 811379a0d2c..09ed7a1c881 100644
--- a/website/docs/docs/build/python-models.md
+++ b/website/docs/docs/build/python-models.md
@@ -763,13 +763,38 @@ storage.objects.create
storage.objects.delete
```
-**Installing packages:** If you are using a Dataproc Cluster (as opposed to Dataproc Serverless), you can add third-party packages while creating the cluster.
+**Installing packages:**
+
+Installation of third-party packages on Dataproc varies depending on whether it's a [cluster](https://cloud.google.com/dataproc/docs/guides/create-cluster) or [serverless](https://cloud.google.com/dataproc-serverless/docs).
+
+- **Dataproc Cluster** — Google recommends installing Python packages while creating the cluster via initialization actions:
+ - [How initialization actions are used](https://github.com/GoogleCloudDataproc/initialization-actions/blob/master/README.md#how-initialization-actions-are-used)
+ - [Actions for installing via `pip` or `conda`](https://github.com/GoogleCloudDataproc/initialization-actions/tree/master/python)
+
+ You can also install packages at cluster creation time by [defining cluster properties](https://cloud.google.com/dataproc/docs/tutorials/python-configuration#image_version_20): `dataproc:pip.packages` or `dataproc:conda.packages`.
+
+- **Dataproc Serverless** — Google recommends using a [custom docker image](https://cloud.google.com/dataproc-serverless/docs/guides/custom-containers) to install thrid-party packages. The image needs to be hosted in [Google Artifact Registry](https://cloud.google.com/artifact-registry/docs). It can then be used by providing the image path in dbt profiles:
+
+ ```yml
+ my-profile:
+ target: dev
+ outputs:
+ dev:
+ type: bigquery
+ method: oauth
+ project: abc-123
+ dataset: my_dataset
+
+ # for dbt Python models to be run on Dataproc Serverless
+ gcs_bucket: dbt-python
+ dataproc_region: us-central1
+ submission_method: serverless
+ dataproc_batch:
+ runtime_config:
+ container_image: {HOSTNAME}/{PROJECT_ID}/{IMAGE}:{TAG}
+ ```
-Google recommends installing Python packages on Dataproc clusters via initialization actions:
-- [How initialization actions are used](https://github.com/GoogleCloudDataproc/initialization-actions/blob/master/README.md#how-initialization-actions-are-used)
-- [Actions for installing via `pip` or `conda`](https://github.com/GoogleCloudDataproc/initialization-actions/tree/master/python)
-
-You can also install packages at cluster creation time by [defining cluster properties](https://cloud.google.com/dataproc/docs/tutorials/python-configuration#image_version_20): `dataproc:pip.packages` or `dataproc:conda.packages`.
+