> For the complete documentation index, see [llms.txt](https://gmgai.gitbook.io/gmgai-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gmgai.gitbook.io/gmgai-docs/5-quan-zhan-ji-shu-jia-gou.md).
# 5、全棧技術架構
GMG AI 建構「底層算力層→核心演算法層→應用生態層→價值管理層」四層全棧技術架構，層層遞進、深度協同，為生態提供穩定、高效、安全、可擴展的技術支撐。
1. **底層算力層**全球化分散式 GPU/CPU 異構算力調度系統，融合邊緣運算與雲原生架構，實現跨地域、跨節點算力最佳化分配、價值確權與收益自動結算，為全生態提供 7×24 不中斷算力基礎。
2. **核心演算法層**Web4 原生 AI Agent 雙引擎系統，實現 AI 自主決策、自主交易、自主風控、自主營運全流程自動化，深度整合大數據、機器學習與智慧風控，支撐核心業務高效運轉。
3. **應用生態層**模組化微服務架構，支援靈活擴展、快速迭代、多語言、多終端、全球訪問，全面覆蓋智慧配置、市場預測、算力管理、內容創作、開發者平台等全場景服務。
4. **價值管理層**直連官方 API 與全球主流合規介面，建構自動化市值管理、全域資料治理、即時風險預警、全流程合規審查四大模組，實現資產安全、流動性穩定與營運合規三重保障。
---
# 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://gmgai.gitbook.io/gmgai-docs/5-quan-zhan-ji-shu-jia-gou.md?ask=&goal=
```
`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.
