GAN Chain Documentation
  • Introduction
  • On Demand GPU's
    • Developer Docs
    • Credits
  • GAN CHAIN L1
    • Chain Architecture
    • Node Structure: The Three Pillars of Decentralized Compute
    • GAN Consensus Mechanisms
      • Proof of Authority
      • Proof of Availability
      • Proof of Compute
      • GPU Benchmarking
    • Validator Node Setup
      • Creating an SS58 Address
      • Adding a Validator Node on GAN CHAIN
      • Adding Your SS58 Account to GANscan Explorer
      • Running the Validator Node on GAN Chain
      • Adding Validator in the Explorer
    • Queen Staking Setup on GAN Chain
    • Block Rewards
  • Subnets
  • Barrels of Compute Guide
    • Barrel of Compute FAQ
  • $GPU Token Launch
    • Tokenomics
  • Quests
  • Investor Docs
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  1. GAN CHAIN L1
  2. GAN Consensus Mechanisms

Proof of Compute

PreviousProof of AvailabilityNextGPU Benchmarking

Last updated 1 year ago

Proof of Compute (PoC) is a novel consensus algorithm designed for the GAN Chain to efficiently allocate GPU resources among providers for tasks assigned by consumers. PoC combines elements of Proof of Stake (PoS) and Proof of Work (PoW) to ensure fair and decentralised resource allocation while maintaining high-quality task execution. The algorithm involves three main actors: Queen node, Provider node, and Consumer. Providers stake their GPU resources and participate in the GAN Chain network, where the Queen node evaluates their capabilities through benchmarking tests, system configurations, and Time-to-Live (TTL) parameters. Providers are rewarded based on their performance and are assigned tasks from consumers. Throughout the task execution, the Queen node continuously monitors the provider's health to ensure the quality of service. PoC offers a unique blend of PoS and PoW, denoted as PoC = PoS + PoW, to create a decentralised and automated ecosystem within the GAN Chain.

  • Provider Registration and Staking: Providers stake their GPU resources to participate in the GAN Chain network. Staked resources are registered in the GAN Chain and serve as collateral for participating in task assignments.

  • Queen Node Evaluation: Upon registration, the Queen node evaluates provider capabilities using benchmarking tests, system configurations, and TTL parameters. These evaluations ensure that providers meet the required standards for task execution.

  • Continuous Monitoring by Queen Node: Throughout the task execution process, the Queen node monitors provider health to ensure the quality of service. This monitoring includes performance checks and adherence to consumer requirements.