> For the complete documentation index, see [llms.txt](https://hyperdust-foundation.gitbook.io/hyperagi-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hyperdust-foundation.gitbook.io/hyperagi-docs/mining/node-key.md). # Node Key By holding a HyperNode Key, you can configure your server as a GPU node or validator node in the HyperAGI network. Once you stake the HyperNode Key and complete node activation, you will successfully connect to the HyperAGI and provide efficient computing power support for services such as AI training, AI inference, and trusted verification. In return, you will receive $HYPT token rewards. Additionally, you will become an operator of the HyperAGI and can create a HyperNode pool. By inviting more nodes to join your pool, you can enhance the network's computing capacity and reliability, earning generous rewards from the node pool. As the pool owner, you can set the reward distribution for your node pool. --- # 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://hyperdust-foundation.gitbook.io/hyperagi-docs/mining/node-key.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.