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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. POTENTIAL USE CASES

AI/ML Training and Inference

The GPU Network has the potential to train AI/ML language models at a higher scale, The decentralized, distributed GPU resource infra can be leveraged for distributed AI/ML training and inference tasks, allowing users to train complex models or perform large-scale inference efficiently and cost-effectively.

PreviousMarket PotentialNextRendering and Animation

Last updated 1 year ago