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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  2. Interpretation Of UtilityNet

Market Prospect And Future Value Of UtilityNet

In March 2016, when AlphaGo defeated Korean chess player Lee Sedol, people were surprised about the power of AI. However, the huge efforts behind the event, namely, thousands of servers, thousands of CPUs, GPUs and the amazing power consumption of a chess game, were rarely known.

Since 2012, the amount of computing used in the AI training of the largest scale has increased exponentially, whose index doubled in 3.5 months and increased by more than 300000 times in 6 years. According to the statistics of Gartner, it is estimated that the scale of the computing industry will exceed 2 trillion dollars by 2023. The computing industry has reached a key node, and AI computing will become the mainstream.

It turns out that what we really need is a million times more computing than we have now to reach the total value of computing necessary for human civilization to leap forward, not just a few dozen times.

As a result, high-performance distributed AIcomputing will be a trillion-dollar starting industry in the next decade. As the industry leading high-performance distributed intelligent computing network, UtilityNet is expected to become the most professional, large-scale and ecological application service platform in the global distributed computing. To achieve this goal, the infrastructure construction scale of UtilityNet will also be trillion-level. Once reached, the value of UtilityNet's deflationary tokens will be incomparable.

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Last updated 2 years ago

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