PIN3 Document
  • Introduction
    • Introduction
    • Founders
    • Vision
    • Links
  • Architecture
    • Overview
    • GPU Provider Nodes
    • User Interface and Access
    • Smart Contracts and Blockchain Integration
    • Data Privacy and Security Measures
  • Products
    • Overview
    • Decentralized GPU Processing Model
    • Optimized Training Speed and Cost Reduction
    • Open Access to AI Training and Software Providers
  • Use Cases
    • Overview
    • Large Language Model Training
    • AI-Generated Picture and Video Training
    • AI-Generated Code Training
    • Incentivization Mechanism for GPU Providers
    • Compute Power Contribution
    • Quality of Service
    • PIN Token Rewards
    • Aligning Interests
    • Promoting Competition
  • Tokenomics
    • The PIN Token
    • Utilities
    • Distribution
  • Governance
    • Decentralized Governance Model
    • PIN3 DAO
    • Proposal
    • Voting Mechanism
  • Roadmap
    • Roadmap
    • Community Engagement and Partnerships
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  1. Use Cases

Promoting Competition

The incentivization mechanism fosters competition among GPU providers. By rewarding providers based on their compute power contribution and quality of service, the mechanism encourages GPU providers to continuously improve their performance. This competition drives providers to offer better service, enhance their infrastructure, and strive for excellence, ultimately benefiting the users who rely on their GPU compute power.

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Last updated 1 year ago