# Introduction With the acceleration of global digital transformation, especially in cutting-edge technology fields such as artificial intelligence (AI), big data, and blockchain, the demand for computing resources is experiencing explosive growth. Traditional centralized data cen- ters are no longer able to respond to ever-changing computing needs efficiently and flexibly, and are faced with problems such as high costs, low efficiency, and waste of resources. At the same time, with the rise of the concept of decentralization, decentralized computing platforms have become an ideal solution for achieving global computing resource sharing, improving resource utilization and reducing costs. However, the current distributed computing network still faces some key challenges: how to efficiently allo- cate and schedule computing tasks, how to ensure the security of the network and the integrity of nodes, how to use global distributed resources to meet various computing needs, and how to ensure the integrity of nodes. Ensure data privacy and security of computing tasks. These issues have yet to be fully addressed. OCEAN AI came into being as an innovative distributed computing network platform based on Ethereum Chain, aiming to provide an efficient, transparent, secure and low-cost global computing solution in a decentralized manner. OCEAN AI is not only a platform that provides computing power, it is also a highly intelligent ecosystem that integrates decentralized finance (DeFi), artificial intelligence (AI), privacy com- puting and other technologies, aiming to meet the needs of individuals, developers and the public. Enter- prise-level applications and other computing needs. Through OCEAN AI, computing resources around the world can be integrated and scheduled more efficiently. Any device with computing power, whether it is a personal computer, server, or smart device, can become part of the network, provide computing resources and receive corresponding token rewards. Based on the combination of smart contracts and AI algorithms, the platform can achieve accurate task allocation and efficient resource utilization, ensuring the rapid processing of computing tasks and the sus- tainable development of the platform. --- # 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://ocean-ai.gitbook.io/ocean-ai/introduction.md?ask= ``` 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.