> For the complete documentation index, see [llms.txt](https://dpincloud.gitbook.io/dpincloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dpincloud.gitbook.io/dpincloud/ecosystem-and-partnership/overview.md). # Overview ### Design Philosophy DPIN is committed to tackling the complexities involved in the application of computational power, particularly in AI and cloud gaming. Our team leverages deep industry expertise to develop robust, commercially viable solutions. We aim to accelerate the adoption of next-generation high-performance computing technologies that can transform various industries. ### Key Aspects of the Business Model * Global Dispatchment of Computational Power: DPIN facilitates the movement of AI computational power from low-cost regions to high-cost regions, allowing cost reductions of approximately 30% when exporting computational power from the United States to markets like Japan, South Korea, or Singapore. * Peer-to-Peer Marketplace: Our platform creates a global computational power-sharing model enabling individuals and businesses to rent out idle computational resources. * Consumer-to-Consumer (C2C) Platform: We empower users to utilize consumer-grade GPUs for business applications, enabling a further reduction in computational power costs. * Localized Services: We prioritize offering localized services that effectively navigate and minimize geopolitical risks, ensuring a seamless user experience regardless of location. * Decentralized Governance: Utilizing blockchain technology, we are developing decentralized rules for cooperative decision-making and mutual benefits among ecosystem participants. ### Network Mechanism DPIN operates on a two-layer network combining blockchain and distributed cloud technology. The blockchain layer pools global high-performance computing resources, while the cloud layer addresses industry-specific applications, providing a versatile ecosystem suitable for businesses of all sizes. --- # 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://dpincloud.gitbook.io/dpincloud/ecosystem-and-partnership/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.