> For the complete documentation index, see [llms.txt](https://cloudai-6.gitbook.io/cloudai-white-paper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cloudai-6.gitbook.io/cloudai-white-paper/1.cloudai-project-overview/1.1-background-and-overview.md). # 1.1 Background and Overview CloudAI is a cloud-based accelerator infrastructure system dedicated to providing efficient and reliable computing acceleration services for AI Agents. With the rapid development of artificial intelligence technology, the market demand for high-performance, low-cost computing resources continues to grow, especially in the operating environment of AI agents, where the efficiency and credibility of computing are particularly important. Against this backdrop, CloudAI was born. The platform integrates a decentralized architecture, AI-driven intelligent resource management system, and advanced cryptographic technology to provide reliable cloud computing solutions for AI Agents, supporting their safe and efficient operation in a decentralized environment. Since its launch in 2024, CloudAI has been able to significantly reduce computing costs and improve the operating efficiency of AI Agents under normal conditions. It optimizes resource allocation through smart contract mechanisms, ensuring the transparency and fairness of transactions and computing processes. CloudAI further promotes the integration of AI technology and blockchain through its innovative idle resource sharing model, helping AI Agents expand their applications globally. --- # 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://cloudai-6.gitbook.io/cloudai-white-paper/1.cloudai-project-overview/1.1-background-and-overview.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.