# 人工智能

Kubernetes 在人工智能领域的应用。

## KubeFlow

[Kubeflow](https://github.com/kubeflow/kubeflow)项目致力于使机器学习（ML）工作流在Kubernetes上的部署简单，可移植且可扩展。KubeFlow的目标不是重新创建其他服务，而是提供一种直接的方式来将ML的同类最佳的开源系统部署到各种基础结构中。在运行Kubernetes的任何地方都应该能够运行Kubeflow。官网：<https://kubeflow.org/>。

## ElasticDL

[ElasticDL](https://github.com/sql-machine-learning/elasticdl) 是一个基于 TensorFlow2.0 的 Kubenretes 原生深度学习框架，官网：[https://elasticdl.org](https://elasticdl.org/)。


---

# 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://doc.cncf.vip/kubernetes-handbook/ling-yu-ying-yong/ai.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.