> For the complete documentation index, see [llms.txt](https://compute-labs.gitbook.io/compute-labs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://compute-labs.gitbook.io/compute-labs/ai-fi-ecosystem.md). # AI-Fi Ecosystem ## **Overview** By enabling compute tokenization, Compute Labs validates the core thesis of the AI-Fi ecosystem. Our mission is to establish the financial ecosystem for AI compute as an emerging asset class, and we aim to be the premier platform for compute tokenization, derivatives, and structured products, enabling a comprehensive range of AI-Fi activities. ### **Compute Derivatives** The AI-Fi ecosystem integrates financial derivatives and compute-based investment products. Here's a deeper dive into a few of its key components: * GNFT & miniGPU Staking and Borrowing: Investors can participate in GNFT & miniGPU staking and borrowing, providing them with flexible financial management strategies. GNFT staking allows investors to boost their yield, while borrowing enables them to unlock additional liquidity for yield farming. * GPU ETF: The GPU ETF offers investors diversified exposure to the AI compute sector. By investing in a basket of various GPU models, investors can mitigate the risk associated with individual asset selection while capitalizing on the growth potential of the entire AI industry. * GPU Index: The GPU index serves as a reliable benchmark for tracking the performance of the GPU market. It provides valuable insights into market trends, helping investors make informed decisions regarding their AI-related investments. * Structured Products: Through collaborations with exchanges and established platforms, Compute Labs powers the development of structured products based on tokenized compute, allowing retail investors to adopt a one-click solution to capture the high yield of compute economy. * GPU Custody: Working with TradFi partners who are bullish on AI physical infrastructure, Compute Labs plans to create the first fully compliant GPU Custody & Fulfillment solution in the US. --- # 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://compute-labs.gitbook.io/compute-labs/ai-fi-ecosystem.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.