> For the complete documentation index, see [llms.txt](https://ai-docs.fptcloud.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-docs.fptcloud.com/ai-factory-guideline-jp/akaunto/ke-jin/chtoriaru/nonitsuite/moderuno.md).

# モデル微調整の課金

| **課金ロジック**                                                       | **最低課金対象使用量** | **課金対象時間**       |
| ---------------------------------------------------------------- | ------------- | ---------------- |
| <p></p><ul><li>パイプラインの使用時 間に基づく</li><li>未請求残量、最も近い15分単位に切り上げられます |               |                  |
| <br>15分単位に切り上げ</li></ul>                                         | 15分単位で        | 使用時間 ≥ 1/4 GPU時間 |

**課金式:**

* **使用時間:** GPU時間単位で計算（15分単位に切り上げ）
* **GPU**: 使用したGPUの数
* **費用:** 使用時間（時間） × GPU数 × 価格表の単価

例:

> **NVIDIA H100 SXM5 GPU 1台（$5.5/GPU-時間）**&#x3092;使用して、モデル**Qwen/Qwen3-32Bを8分**> \
> **間トレーニング**

* 使用時間：8分 → 15分（0.25 GPU時間）に切り上げ
* GPU: 1
* 費用: `$5.5 × 1 GPU × 0.25 GPU-hour = $1.375`


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://ai-docs.fptcloud.com/ai-factory-guideline-jp/akaunto/ke-jin/chtoriaru/nonitsuite/moderuno.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
