UtilityNet White Paper
  • ♦️UtilityNet
    • ♦️Preface
    • ♦️Web3 Era
      • Web3 Chance
      • Web3 Challenges
    • ♦️Computing Revolutions
      • Computing era: a new industrial revolution
      • Needsexpansion for computing
      • The development of computing has entered a bottleneck period
      • UtilityNet computing revolution
    • ♦️The Meaning Of UtilityNet
      • Remodeling The Operating Rules Of The World
      • The Meaning Of Life
      • A Higher Level Of Civilization
      • Consensus Of High Performance Distributed AI Computing
    • ♦️Interpretation Of UtilityNet
      • About UtilityNet
      • Initial Aims Of The Team
      • Web3 Infrastructure
      • UtilityNet-- high performance distributed intelligent computing network
      • Computing Cloud And Edge Computing Of UtilityNet
      • Ultra-Heterogeneous Distributed Computing Network Of UtilityNet
      • UtilityNet Makes Metaverse Smarter
      • UtilityNet DAO
      • UtilityNet Client
      • Market Prospect And Future Value Of UtilityNet
    • ♦️Technical Architecture Of UtilityNet
      • Core Architecture
      • Infrastructure
      • Scheduling Protocol Of The CFN Distributed Computing
      • Consensus Mechanism Of HPOS
      • Intelligent Computing Resource Pool
    • ♦️Token Economics Of UtilityNet
      • Introduction To Tokens
      • Miner’s Mining Reward Of AI Computing
      • Mining And Combustion Rules During Test Period
      • GAS Fee Consumption
      • Output Rules
    • ♦️UtilityNet FUND
    • ♦️Growth Paths Of UtilityNet
    • ♦️Developer's Message
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  1. UtilityNet
  2. Computing Revolutions

The development of computing has entered a bottleneck period

At present, the improvement of computing performance faces challenges from multiple dimensions, and the development of computing has entered a bottleneck period. From the perspective of hardware, as the silicon-based chip process approaches the limit, the problems of "memory wall" and "power wall" become prominent, the performance improvement of computing platforms such as CPU and GPU is weak, and Moore's Law is gradually failing. From the network level, the ability of computing nodes to flexibly and efficiently allocate computing resources through the network is still insufficient, and the loss and overhead of data transmission are too high, so the computing resources cannot be effectively utilized. From the perspective of cost performance, the investment of computing-related software and hardware facilities is not proportional to the return, and the computing field urgently needs a cost-effective scheme that continues Moore's Law.

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Last updated 2 years ago

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