# Kubeflow Components

Hydrosphere Serving Components for Kubeflow Pipelines provide integration between Hydrosphere model serving benefits and [Kubeflow](https://kubeflow.org) orchestration capabilities. This allows launching training jobs as well as serving the same models in Kubernetes in a single pipeline.

![](/files/-MLOR5z2szM2T1eE2cln)

You can find examples of sample pipelines [here](https://github.com/kubeflow/pipelines/samples/contrib/hydrosphere-samples).

## Serving components

### **Deploy**

The Deploy component allows you to upload a model, trained in a Kubeflow pipelines workflow to a Hydrosphere platform.

For more information, check [Hydrosphere Deploy Kubeflow Component](https://github.com/kubeflow/pipelines/tree/master/components/hydrosphere/serving/deploy_op)

### **Release**

The Release component allows you to create an Application from a model previously uploaded to Hydrosphere platform. This application will be capable of serving prediction requests by HTTP or gRPC.

For more information, check [Hydrosphere Release Kubeflow Component](https://github.com/kubeflow/pipelines/tree/master/components/hydrosphere/serving/release_op)


---

# 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://docs.hydrosphere.io/release-2.4.3/about/hydrosphere-features/kubeflow-components.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.