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AI Connect Whitepaper
  • Project Introduction
  • 1. Project Background and Vision
  • 2. Introduction to Computing Power Networks
    • 2.1 Data as a New Factor of Production, Giving Rise to Computing Power Networks
    • 2.2 The Current Distribution of Computing Power Supply and Demand Shows Decentralized and Unbalanced
    • 2.3 The Metaverse Era, Where New Technologies Like VR and AR Are Closely Related to High Bandwidth a
    • 2.4 Computing Power Networks Refer to the Integration of Cloud, Network, and Edge for Unified Comput
    • 2.5 Computing Power Networks Build the Network Foundation for the Development of the Metaverse
  • 3. Market Demand for the Development of Computing Power Networks
    • 3.1 The AI Wave Boosts Computing Power Demand, and Achieving Scalability of Intelligent Technology R
    • 3.2 Industry Applications of Large Model Training Also Require a Large Amount of Intelligent Computi
    • 3.3 The AI Application Has a Long Tail Effect, and Achieving Scalability Requires First Achieving Un
  • 4. AIConnect Computing Power Network Construction Plan
    • 4.1 Computing Power Supply Services
    • 4.2 The Infrastructure and Marketization of Computing Power Scheduling
    • 4.3 The Commercial Demand for Computing Power Scheduling
  • 5. Global Development of Computing Power Networks and DePIN
    • 5.1 Development Advantages of DePIN Combined with AI and Crypto
    • 5.2 AIConnect's Investment in AI Edge Computing Model Training and Development
  • 6. Joint Construction and Participation in AIConnect's Computing Power Network
    • 6.1 Introduction to the Role of AIC Token Assets in AIConnect
    • 6.2 Design Advantages of AIC Tokens
    • 6.3 Introduction to the Business Model of AIC Tokens
      • 6.3.1 AIC Token Production
      • 6.3.2 Node Participation
  • 7. Development Roadmap
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  1. 2. Introduction to Computing Power Networks

2.1 Data as a New Factor of Production, Giving Rise to Computing Power Networks

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Last updated 1 year ago

Data is the new factor of production in the modern era, and computing power is the rate at which devices process data. The rapid expansion of data volume has significantly increased the demand for computing power. With the development of the digital economy, we are now in an era of exponential data growth. Relevant statistics indicate that the global data volume is expected to reach 2,142ZB by 2035.

Computing power is a positive indicator of a device's data processing capability, typically measured in floating-point operations per second (Flops). According to McKinsey's business survey results, it is predicted that by the end of 2023, the global total computing power will exceed 200EFLOPS. It is also forecasted that the global computing power scale will reach 3,300EFLOPS by 2025, with a compound annual growth rate (CAGR) of over 50% from 2020 to 2025.