Inferix Decentralized GPU
  • Overview
  • Tokenomics
  • Introduction
    • Rendering network using crowdsourced GPU
    • Rendering verification problem
  • Decentralized visual computing
    • Client Apps plugin
    • Client API and SDK
    • Manager node
    • Worker node
    • Decentralized storage
      • Data categories
      • Multi-level 3D polygon data
      • Polygon digester
      • Decentralized storage
      • Decentralized cache
    • Data security with FHE and TEE
      • Verifier data security enhancement with FHE
      • Worker and Manager data security enhancement with FHE
    • Decentralized federated AI
      • Federated learning with TensorOpera
      • Meta LLaMA
      • Stable Diffusion
      • Other AI models
      • Inferix AI
  • Inferix Testnet 1
    • Inferix GPU Solutions
    • Adding GPUs to the Network
    • Renting GPU Devices
    • GPU Staking
  • Future development
    • PoR and NFT minting for graphics creative assets
    • ZKP and PoR communication
    • Inferix RemotePC
    • Rendering professional network
  • Terms of Service
    • Privacy Policy
    • Airdrop Terms of Service
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  1. Future development

ZKP and PoR communication

Zero-knowledge proofs (ZKP) have recently garnered significant attention from developers in the Web3 space. At present, applying ZKP to heavy edge computing systems, such as GPU-based rendering or AI, faces challenges due to the high computational resources required, leading to reduced processing performance. However, the Inferix development team believes that ZKP will become increasingly valuable for our use cases in the future. Therefore, we are continuing to explore experimental approaches that combine ZKP with PoR. We will publish these experiments in future papers.

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Last updated 4 months ago