> For the complete documentation index, see [llms.txt](https://artificialsupercomp.gitbook.io/artificial-super-computer/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://artificialsupercomp.gitbook.io/artificial-super-computer/asc-ecosystem/architecture.md). # Architecture The Artificial Super Computer network is constructed around three fundamental roles essential to its functioning: Vessels, Catalogers, and Assessors. Vessels are crucial as they provide real-time, remote computing services, which are vital for a fluid cloud computing experience. Catalogers serve to connect users with the most appropriate Vessels, ensuring that the specific requirements of applications are met efficiently. Assessors are key to monitoring the performance and service quality of the Vessels, ensuring their reliability and effective operation. Supporting the architecture of the Artificial Super Computer ecosystem is the Layer 2 Arbitrum network, which acts as a decentralized settlement layer that significantly enhances user interactions with CORE tokens. It adeptly handles transaction records, tackling major blockchain issues like scalability, transaction speed, and high fees. As blockchain technology advances, the Artificial Super Computer network is set to broaden these capabilities within a fully decentralized framework. --- # 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://artificialsupercomp.gitbook.io/artificial-super-computer/asc-ecosystem/architecture.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.