✨
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
Powered by GitBook
On this page
  1. 4. AIConnect Computing Power Network Construction Plan

4.2 The Infrastructure and Marketization of Computing Power Scheduling

Previous4.1 Computing Power Supply ServicesNext4.3 The Commercial Demand for Computing Power Scheduling

Last updated 1 year ago

The development process of the computing power network is divided into three stages: initial coordination, joint scheduling, and integrated unity. In the initial coordination stage, computing power and networks still operate independently, with orchestration and scheduling not yet integrated. However, it begins to shift towards collaborative operations, with computing power infrastructure moving from centralized to distributed, gradually achieving resource allocation on demand and wide-area multi-industry collaboration. Following this is the joint scheduling of computing power and networks. Although computing power and networks remain independent entities, a shared scheduling center achieves unified management and flexible orchestration of compute network resources, significantly increasing the utilization rate of computing power resources across all times and spaces. The final stage of integrated unity is also the ultimate vision for the development of the compute network, which is to build an integrated compute network infrastructure where users can use optimally scheduled, low-cost computing power without any awareness.