> For the complete documentation index, see [llms.txt](https://aigpu.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aigpu.gitbook.io/whitepaper/introduction/a-note-from-our-founders.md). # A Note from Our Founders "We've been planning this for years, but felt people would question our claims of alpha in the market. So, we took it upon ourselves to prove our theory by testing every part of the process, onboarding our first client, and generating our first profit. We provide a white glove service, so we began with a series of interviews with our client to define their specific requirements. Then we ordered the proper GPUs to prove our supply chain and lead times; which took about 6 weeks to take delivery. We next implemented our proprietary code/tech to optimize the performance of each GPU and the server. Our client migrated to our cloud and went from paying $300K per year to just $70K per year on our cloud. At the time, they were only using 22% of the available resources and have recently grown to using about 40%. So, our client still has room to grow 150% while spending about 25% of the cash they were previously spending for cloud services. This is vital for growing generative AI companies, because GPU cloud is the largest external line item in their budgets. So, this is our corner… bringing true alpha to the industry where it's needed most to support the growth of generative AI companies at scale." --- # 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://aigpu.gitbook.io/whitepaper/introduction/a-note-from-our-founders.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.