# Purpose **$GP** is the currency that motivates participation within the GPGPU ecosystem. It acts as the lifeblood circulating through the ecosystem and is used throughout the protocol. Within the GPGPU environment, $GP functions as the base currency, similar to the role of the dollar in the real world, providing better motivation compared to conventional reward and payment methods. $GP is designed to ensure that all participants have a common goal and contribute to the ecosystem. Clients use $GP to pay for services effectively and affordably. GPU providers offer their GPU resources, believing in the future value of $GP and receiving rewards in $GP. Nodes also contribute to the ecosystem to earn $GP rewards. While this economic model can operate with stablecoins like USDT, incorporating $GP can generate better synergy. Participants can choose between USDT and $GP for rewards and payments, thus meeting the needs of diverse groups. ## **Why is $GP necessary?** All activity rewards and payments could be made in stablecoins like dollars or USDT. However, when participation rewards are overly clear and transparent, the level of excitement and initial participation motivation can diminish. Earning $GP quickly through early participation is crucial, as it can instill expectations of future profitability through rewards. In the early stages of the service, there is a need for a large number of participants and GPU resource supplies in a short period. Thus, a reward system using a proprietary cryptocurrency like $GP can be very efficient. This approach aligns with the traditional methods used in the cryptocurrency market to grow projects. --- # Agent Instructions: 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: ``` GET https://gpgpu.gitbook.io/gpgpu/usdgp-token/purpose.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.