> 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/market-analysis/competitor-analysis.md).

# Competitor Analysis

Our proprietary code increases performance of each GPU by 60%. *This sets us apart from competitors who are simply buying GPUs, deploying servers, and renting them out to generative AI companies (clients/tenants)*. We have alpha due to our proprietary code and methods. This allows us to severely undercut competition pricing while delivering a superior product to market. We are also in a league of our own as none of our competitors own any GPUs. They simply leverage the publics assets to enter into a revenue share agreement. We own our metal (GPUs) and therefore our company will have an increasing balance sheet and assets under management (AUM) as we progress into scaling phase.