> For the complete documentation index, see [llms.txt](https://neuralbyte.gitbook.io/neuralbyte-erc/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://neuralbyte.gitbook.io/neuralbyte-erc/ecosystem/decentralized-resource-pool.md). # Decentralized Resource Pool NeuralByte establishes a decentralized resource pool comprising GPU and TPU clusters contributed by network participants. Through a distributed consensus mechanism, resources are allocated dynamically based on demand, ensuring optimal utilization and minimizing idle capacity. This decentralized approach enhances scalability and resilience, mitigating the risks associated with centralized infrastructures. * NeuralByte establishes a decentralized marketplace where users can rent computational resources for AI and ML tasks. * Smart contracts govern the interactions between users and providers, ensuring trustless transactions and fair pricing. * Providers can offer their idle computing power in exchange for NeuralByte, thereby monetizing their resources. --- # 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://neuralbyte.gitbook.io/neuralbyte-erc/ecosystem/decentralized-resource-pool.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.