Inferix Decentralized GPU
  • Getting Started
    • Overview
    • $IFX
    • Resources
    • Brand Kit
    • Frequently asked questions (FAQs)
  • Inferix Whitepaper
    • Introduction
      • Rendering network using crowdsourced GPU
      • Rendering verification problem
    • High-level description of ANGV
      • Noise generation
      • Noise verification
      • Thread model
    • Implementation of ANGV
      • Structure of noise
      • Noise insertion
        • Geometric constraints
        • Distortion region
      • Adaptive noise spreading
      • Verification key generation
      • Noise verification
      • Threat analysis
        • Attacks on verification keys
        • Attacks on noises
        • Attacks on verifiers
      • Performance evaluation
      • Integration
    • 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
    • Economic model
      • GPU compute market for visual computing and federated AI
      • Inferix vision
      • $IFX token
      • Burn-Mint-Work token issuance model
      • Inferix bench and IBME
        • IB and IBM
        • IBME
      • Price simulation
      • Token metrics and allocation
        • Token allocation
        • Token vesting
      • Governance
      • Node staking and rewards
        • Worker
        • Verifier
        • Manager
        • Penalty pool
      • Node sale and guaranteed node buyback
        • Node sales
        • Guaranteed Node Buyback
    • Future development
      • PoR and NFT minting for graphics creative assets
      • ZKP and PoR communication
      • Inferix RemotePC
      • Rendering professional network
    • References
    • Appendix A: Proofs
    • Appendix B: Price simulation details
    • Appendix C: Hardware requirements for nodes
    • Appendix D: Performance evaluation data
  • Worker Node Guide
    • What is Worker Node
      • How do the Worker Node work
      • Worker Node Rewards
      • How to run Worker Node
      • What is the Worker Node License (NFT)
    • Worker Node Sales
      • Guide to Purchase Worker Nodes
      • Worker Node Sale Timeline
      • Node Supply, Price, Tiers and Purchase Caps
      • Guaranteed Node Buyback
      • How to get Node Whitelisted?
      • Smart Contract Addresses
      • User Discounts & Referral Program
      • Worker Node Purchase FAQ
      • ABKK Collaboration FAQ
  • Verifier Node Guide
    • What is Verifier Node
      • How do the Verifier Node work
      • Verifier Node Rewards
      • How to run Verifier Node
      • What is the Verifier Node License (NFT)
    • Verifier Node Sales
      • Guide to Purchase Verifier Nodes
      • Verifier Node Sale Timeline
      • Node Supply, Price, Tiers and Purchase Caps
      • Guaranteed Node Buyback
      • How to get Node Whitelisted?
      • Smart Contract Addresses
      • User Discounts & Referral Program
      • Verifier Node Purchase FAQ
      • Aethir Node Winners FAQ
  • Inferix MVP
    • Tutorial: MVP for designers & GPU owners
    • PoR MVP
  • Inferix Testnet 2 on Solana & IoTeX [ENDED]
    • Adding GPUs to the Network
      • For GPU providers
      • For GPU providers without funds
      • For users without GPUs
      • For Inferix Node Holders
    • Renting GPU Devices
    • User Revenue Calculation
      • Worker Rewards
      • Rental Revenue
      • Viewing Revenue
      • Claiming Rewards
    • GPU Staking & Unstaking
      • Staking Requirements
      • Unstaking GPUs
    • Guide to get tIFX tokens
    • Why choose Inferix DePIN GPU Solutions?
  • Inferix Testnet 1 on IoTeX [ENDED]
    • Inferix GPU Solutions
    • Adding GPUs to the Network
    • Renting GPU Devices
    • User Revenue Calculation
    • GPU Staking
    • Multiple options to participate in the Staking & Mining Program
    • Special airdrop for Inferix Node Holders! 🎉
    • Guide to get tIFX tokens
    • FAQ
  • Inferix Explorer
  • Team & Achievements
    • Our Story
    • Team
    • Member of Cohort 1 DePINSurf
    • Achievements
  • Community & Events
    • Events
    • Inferix Campaign: "ALLIANCE" (ENDED)
  • Terms of Service
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  1. Inferix Whitepaper
  2. Economic model
  3. Node staking and rewards

Worker

PreviousNode staking and rewardsNextVerifier

Last updated 8 months ago

Workers are the most critical component of the Inferix network. The reward pool for Worker Nodes constitutes 75% of the Ecosystem Fund and is distributed through the BMW model. In other words, three-quarters of the 80% of the network's service revenue is allocated to Workers.

To receive BMW rewards, each Worker must hold an amount of $IFX tokens at any given time. This token amount acts as a penalty fund in case the Worker fails to meet Inferix's standards. The minimum stake amount of node nnn can be calculated as follows:

S(n)≜2×E×IB(n)×P(n)S\left(n\right) \triangleq 2 \times \mathcal{E} \times \text{IB} \left(n\right) \times P\left(n\right)S(n)≜2×E×IB(n)×P(n)

where IB(n)\text{IB}\left(n\right)IB(n) is the benchmark value of the node (c.f.~\cref{equ:inferix_bench}), P(n)P\left(n\right)P(n) is the price per IBM defined by the node provider himself and E\mathcal{E}E is a constant defined by number of minutes of the Epoch period, that is 72×60=432072 \times 60 = 432072×60=4320.

For example, if a provider owns a node with 32 GB RAM, IntelCorei9 CPU, and an RTX4090 card, its computing power will be approximately 0.5 IB. To participate in the Inferix network at a service price of $2 per hour, it is needed to hold a quantity of $IFX tokens equivalent to 0.5×2×4320÷600.5 \times 2 \times 4320 \div 600.5×2×4320÷60 = 72 USD.

Inferix Edge: computers are specially designed to participate in the Inferix worker network. These machines are streamlined by removing non-essential components and focusing on enhancing the CPU, GPU, RAM, and motherboard to optimize performance for Visual Computing and federated AI tasks.

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