NodeGPT Whitepaper
  • πŸ”­Overview of NodeGPT
  • πŸ“œBrief History & Recent Developments of AI
  • πŸ’₯Vision & Objectives
  • πŸ”Market Research & Analysis.
  • πŸ‘©β€πŸ’»NodeGPT Technology
    • β›…NodeGPT vs Centralized Cloud Systems
    • πŸŽ›οΈCollaborative Dashboard
    • 🏦Decentralized Marketplace
    • βš–οΈGovernance
    • πŸŽ₯Use Cases
    • πŸ’°Resource Pricing
  • πŸ‚Onboarding
    • πŸ’»How to Use NodeGPT (Contributor)
    • βš’οΈHow to Use NodeGPT (Innovator)
  • 🏦Revenue Models & Contributors Rewards
    • πŸ“‡Our Revenue Models
    • πŸ’ΈHow to Earn
  • πŸͺ™Tokenomics
    • βš™οΈ$NODE Utilities
    • 🀝Token Allocation
  • πŸ§‘β€πŸ’ΌTeams
  • πŸ›£οΈRoadmap
  • ❓FAQ
  • πŸ”—Relevant Links
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  1. NodeGPT Technology

NodeGPT vs Centralized Cloud Systems

In contrast to centralized cloud systems, where their computational power is handled by a central server making it expensive for innovators to build their AI solutions effectively, NodeGPT’s technology offers a p2p network, where contributors pool network resources into an open marketplace.

Users building AI systems can define & specify their processing tasks and then submit them to the NodeGPT network's task marketplace for the fulfillment of computational power. The NodeGPT goes on to distribute these processing tasks across its resource pool, based on user specifications & available computational power in the marketplace. When the perfect match is found for the users, the network verifies and delivers it to the them.

This approach creates a win-win scenario for contributors, as they earn from the network for providing computational resources and users get enough computational power to run their AI systems.

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Last updated 6 months ago

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