> For the complete documentation index, see [llms.txt](https://docs.ainetwork.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ainetwork.ai/ain-dao/what-is-ain-dao/gpu-sponsorship-program.md). # GPU Sponsorship Program The GPU resources collected from Runo will be provided to projects that can positively impact the AI ecosystem's growth and development. It creates a connection point for a true AI collaboration infrastructure. The allocation of resources to projects that will activate the AI Network ecosystem is determined by AIN DAO. AIN DAO is a community of people building the AI Network, an AI collaboration ecosystem. AI Network does not see AI as belonging to individuals or organizations. We believe that “AI for All” can be achieved in the true sense when AI is managed in collaboration with the community, as AI data and resources are products of social processes. This is why AI Network operates the AI collaboration ecosystem community as a DAO (decentralized autonomous organization). AIN DAO comprises various AI experts, including resource providers (investors), researchers, developers, and AI service creators, who agree to build the AI collaboration infrastructure. Through their consensus, resource provision projects are selected, and these selected projects are given the opportunity for Runo sales for GPU sponsorship. ## How to apply to this GPU Sponsorship Program? Please read the below slide, copy this [template](https://dao.ainetwork.ai/t/template-gpu-support-program-proposal/109/5), and submit the proposal with the details. {% embed url="" %} **Click here to see more about GPU Sponsorship Program** {% endembed %} --- # 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://docs.ainetwork.ai/ain-dao/what-is-ain-dao/gpu-sponsorship-program.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.