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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Introduction

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Last updated 4 months ago

Inferix is a DePIN network of GPUs for visual computing and AI, it is built to bridge the needs of users and hardware owners. Its solution meets real-world problems across a range of industries, not only for the AI field but also for high-quality graphics rendering. Users (e.g. 3D graphics artists, game developers, enterprises) who need GPU computing power for rendering high-quality graphics can use the Inferix system to continuously access these precious resources with faster processing time and more efficient spending. Owners of GPUs can share idle resources to the Inferix network and earn long-term passive income while simultaneously balancing their main jobs or leisure activities.

At high-level, Inferix network is naturally a dynamic system where demands of digital content creators and supplies of GPU owners are created continuously over time. Users are concerned with the security and privacy of the system, with the facility of accessing computing resources, as well as with the price that they have to pay for their demands.