> For the complete documentation index, see [llms.txt](https://bandwidth-1.gitbook.io/bandwidth-or-usdbps-or-product-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://bandwidth-1.gitbook.io/bandwidth-or-usdbps-or-product-docs/the-concept/our-solution.md). # Our Solution Besides GPU and CPU lending, one relatively untouched form of AI-enabled DePIN is the lending of Internet Bandwidth, as recently introduced by a project named Grass. Offering users the opportunity to earn rewards for renting out their unused internet bandwidth, over 1.5 million users have so far started utilizing this form of DePIN.\ \ Inspired by Grass, Bandwidth AI lets user earn cryptocurrency rewards for lending their unused internet bandwidth. For example, users with a connection bandwidth of 100 MBs per second, who only utilize 25 MBs of that, can lend out the remaining 75 MBs and get rewarded as such. As a unique selling point compared to other providers, we pay our users in a decentralized ERC-20 token $BPS, which serves as the backbone of our ecosystem. By getting rewarded in $BPS, users of the Bandwidth AI ecosystem get the opportunity to participate in the growth of our project.\ \ Revenue generated by our platform, which is used to reward users in $BPS, comes from the sell-trough of internet bandwidth. In other words, the bandwidth users lend out is sold to companies, primarily those active in the field of AI. AI companies use this unused internet bandwidth to scrape the internet and train their AI models. As such, by using the Bandwidth AI platform you earn rewards while contributing to the development and growth of AI.\ \ The Bandwidth AI ecosystem works through an easy-to-use and easy-to-integrate browser extension, compatible with Google Chrome and Mozilla Firefox. Simply download and install the extension, set up your account and start earning $BPS for your unused bandwidth. An extensive overview of our extension and how to start earning rewards is detailed in the next chapters of this whitepaper. --- # 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://bandwidth-1.gitbook.io/bandwidth-or-usdbps-or-product-docs/the-concept/our-solution.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.