> For the complete documentation index, see [llms.txt](https://dgpt.gitbook.io/dgpt-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dgpt.gitbook.io/dgpt-docs/product-architecture/calculation-node-platform.md). # Calculation Node Platform Individual hardware devices have performance limitations and unstable arithmetic outputs, resulting in limited profitability. However, optimising AI models requires stable and continuous arithmetic support. In order to achieve more and sustained revenue, users can choose to lease arithmetic nodes on cloud services through the platform to obtain a stable and continuous supply of arithmetic power. Doing so will enable users to achieve more and lasting benefits. By utilising the cloud services provided by the Platform, users can fully satisfy their need for stable arithmetic power and thus realise higher revenue potential. ① arithmetic node Users have access to different arithmetic level ranges based on different levels, and the higher the level, the higher the arithmetic specification they get and the higher the earnings they receive. ② arithmetic accelerator Arithmetic accelerators are arithmetic acceleration packages that accelerate the stability of personal devices, and the use of arithmetic nodes can significantly reduce the execution time of tasks. The addition of arithmetic nodes can provide additional computing resources, allowing tasks to be processed in parallel, thus speeding up the completion of tasks. Compared to relying only on limited local resources, the introduction of arithmetic nodes can significantly shorten the execution time of tasks, improving efficiency and responsiveness. Different arithmetic acceleration packages can provide different revenue bonuses. Users who participate in training tasks will have to purchase a cloud acceleration package in order to participate. Arithmetic accelerators allow DGPT to handle more tasks or larger data sizes, which means the platform can offer more services and attract more users or partners, which in turn increases revenue and profits, and thus more incentive to participate in the DGPT ecosystem. --- # 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://dgpt.gitbook.io/dgpt-docs/product-architecture/calculation-node-platform.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.