Parallel AI
  • Overview
    • Introduction
    • Problem Statement
    • The Parallel AI Solution
    • Key Benefits
  • HOW PARALLEL PROCESSING IMPROVES AI EFFICIENCY
    • Boosting The Performance Of GPUs / CPUs
    • Efficient Use Of Processing Cores
    • Competitive Advantages
  • Technology
    • Technology Overview
    • Parallel Code Inputting & Analysis
    • Automatic Parallelization
    • Execution Model
    • Integration With Decentralized Networks
    • Example Applications
  • REVENUE MODEL & TOKENOMICS
    • The $PAI Token
    • Revenue Model
    • Tokenomics
  • Roadmap
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  1. Technology

Integration With Decentralized Networks

When the parallel code is ready to execute, Parallel AI deploys it via the compute power it has aggregated from decentralized GPU marketplaces, selecting the optimal GPUs/CPUs for the parallel processing task at hand.

Each node in the network can execute part of the task, and the system coordinates the distribution and aggregation of results.

Smart contracts are used to verify the correctness of the executed tasks and to handle the distribution of rewards (in the form of tokens or credits) to nodes that contribute their computational power.

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Last updated 9 months ago