📃
GPU Network Whitepaper
  • ABSTRACT
  • INTRODUCTION
    • Overview
    • Problem Statement
    • Vision
  • MARKET POTENTIAL
    • Market Potential
  • POTENTIAL USE CASES
    • AI/ML Training and Inference
    • Rendering and Animation
    • Gaming and Virtual Reality
    • Generative AI tools
    • Scientific Computing
    • Mining
  • TECHNICAL ARCHITECTURE
    • Overview
    • Technical Diagram
    • GPU Provider Nodes
    • GPU Consumer Nodes
    • Task Distribution and Execution
  • FULLY HOMOMORPHIC ENCRYPTION
    • FHE (Fully Homomorphic Encryption)
  • $GPU TOKEN
    • Tokenomics
    • $GPU Utility
    • Airdrop
  • Network Resilience/Fault Tolerance
    • Network Resilience/Fault Tolerance
  • CONCLUSION
    • Conclusion
    • Disclaimer
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  1. TECHNICAL ARCHITECTURE

GPU Consumer Nodes

Users in need of GPU resources can connect to the GPU Network through GPU Consumer Nodes. These nodes facilitate the interaction between users and the GPU Network, enabling users to submit tasks, track their progress, and receive results.

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Last updated 1 year ago