> For the complete documentation index, see [llms.txt](https://docs.clore.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.clore.ai/guides/guides_v2-zh/ai-bian-cheng-gong-ju/ai-coding.md).

# 概览

在 Clore.ai GPU 上自托管的 AI 编程工具

在 Clore.ai 上租用 GPU，通过 Ollama 或 vLLM 运行本地 LLM，并连接一个编程助手——你将获得一个完全 **私有的 AI 开发环境** 你的代码永远不会离开机器。无需管理 API 密钥，没有 token 限制，也不会向第三方服务器发送数据。

## 工作原理

```
Clore.ai GPU  →  Ollama / vLLM（本地 LLM）  →  编程工具（Aider、TabbyML）
                     ↑                              ↑
              RTX 4090 / A100               通过 localhost:11434 或 :8000 连接
```

1. **租用 GPU** 于 [clore.ai/marketplace](https://clore.ai/marketplace) — RTX 3090（$0.07–0.21/小时）或 RTX 4090（$0.14–0.42/小时）
2. **部署 LLM** — `ollama run deepseek-r1:32b` 或者用任何面向编程的模型启动 vLLM
3. **启动你的编程工具** — 它通过 localhost 与 LLM 通信，完成代码、编写测试并进行重构

## 可用指南

| 指南                                                             | 工具    | 描述                                      |
| -------------------------------------------------------------- | ----- | --------------------------------------- |
| [Aider](/guides/guides_v2-zh/ai-bian-cheng-gong-ju/aider.md)   | Aider | 基于终端的 AI 结对编程助手——可通过自然语言直接编辑你仓库中的文件     |
| [TabbyML](/guides/guides_v2-zh/ai-bian-cheng-gong-ju/tabby.md) | Tabby | 自托管代码补全服务器，支持 IDE 扩展（VS Code、JetBrains） |

## 为什么要在 Clore.ai 上自托管？

* **隐私** — 你的代码库保留在租用的实例上，而不是 OpenAI/Anthropic 的服务器上
* **无速率限制** — 以 GPU 速度进行无限次补全
* **成本可控** — 按小时/天付费，空闲时可关停
* **模型选择** — 运行任何开源模型：DeepSeek-R1、Qwen 2.5 Coder、CodeLlama、StarCoder2


---

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