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. Products

Decentralized GPU Processing Model

PIN3's key feature is its decentralized GPU processing model. This model revolutionizes the AI training landscape by providing users with access to a distributed network of GPU compute power. Unlike traditional centralized models that rely on a limited number of data centers or GPU providers, PIN3 taps into the idle compute capability of GPU provider nodes connected to the BNB chain. This decentralized approach ensures high availability and scalability, allowing users to leverage a diverse pool of GPU providers for their AI training tasks.

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Last updated 1 year ago