AIGPU Whitepaper
  • AIGPU: Whitepaper
  • Introduction
    • Our Vision
    • A Note from Our Founders
  • $AIGPU
    • Origin Story
    • Fair Market Opportunity
    • Tokenomics
    • Financial Projections
  • Technology and Development
    • Intellectual Property - Optimizing Multiple RTX 4090 GPUs for Parallel Processing
    • Our GPU Multi-Strategy
    • Proof of Compute Model
    • Side-by-Side Comparison - NVIDIA RTX 4090 & H100 GPUs
    • How to Achieve Similar Performance as H100 by Using Multiple RTX 4090s
    • Impact of Multi-Modal Large Language Models
  • Market Analysis
    • Client Profile & Product Market Fit
    • Competitor Analysis
    • Market Potential
    • Generative AI Market Map
  • Roadmaps
    • AI GPU Roadmap
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  1. Market Analysis

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.

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Last updated 1 year ago