GNUS.AI
  • 🧠About GNUS.AI
    • GNUS.AI
    • Introduction
    • Features and Benefits
      • Scale and cost-efficiency
      • GNUS.ai Network vs. Centralized xAI 100k Cluster
        • 1. Executive Summary
        • 2. Introduction
        • 3. Understanding the GNUS.ai Decentralized Network
        • 4. The Centralized xAI 100k Cluster Explained
        • 5. Comparing CAPEX and OPEX
        • 6. Payout Structure and Profitability
        • 7. The Deflationary Token Mechanism
        • 8. Projected Token Price Appreciation
        • 9. Summary Comparison Tables
        • 10. Conclusion and Next Steps
        • Final Thoughts
      • Tokenomics
    • Public Roadmap
    • Whitepaper
    • Meet the Team
    • Why GNUS.AI
      • Works Everywhere
      • Customizable
      • Fast
      • Secure
        • Secure 2FA with TOTP and zk-SNARKs
    • How Does It Work?
      • Idle Central Processing (GPU)
      • Distributed Computation
      • Dynamically Adjusted Resource Allocation
  • 🖥️Technical Information
    • Super Genius Blockchain Technical Details
      • SuperGenius DB Layout
      • AI Data Blocks
      • Slicing Data for Macro MicroJobs
      • Verification and Hash Results from Processing
      • Diagram of the internal blockchain, blocks and processing functionality
      • IPFS Pub Sub
      • SG Consensus Algorithm Implementation
      • Account creation with ECSDA and El Gamal
      • Key Derivation Function
      • El Gamal encryption
      • Prover specification
      • C++ Coding Standards
      • SuperGenius processing component information
        • Processing worker app workflow
        • Job Processing Flow
      • Super Genius DAG Blockchain
      • Minimal MMR Proof System with UTXOs
      • Cross-chain Bridging through SuperGenius
        • Overview of Technical Details for Cross-Chain Bridging Flow
        • Message Creation and Leader Election
        • Leader Ownership and Verification Channel Creation
        • Node Verification and Voting
        • Signature Collection and Aggregation
        • Destination Chain Submission and Validation
    • Hybrid Smart Contract
      • GNUS.ai Ecosystem: A Unified Network of Intelligence
      • Structure
        • Structure Details
      • Encoded IDs
    • Our Smart Contract Testing Philosophy
    • AI Systems
      • Overview
      • Query Workflow
      • Data Storage
      • Pub/Sub Communication
      • Retraining Mechanism
    • Zero Knowledge Proofs
      • Proof schemes and Elliptical Curves
  • Resources
    • Contact Us
    • Contracts
    • FAQS
    • Multisig Wallets
    • Glossary
    • Official Links
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  • Centralized Model Profitability
  • GNUS.ai Payout Structure
  1. About GNUS.AI
  2. Features and Benefits
  3. GNUS.ai Network vs. Centralized xAI 100k Cluster

6. Payout Structure and Profitability

Centralized Model Profitability

• Revenue Per Chip:

Charging an effective $1.75 per chip per hour, with a 10% profit margin, results in a profit of approximately $0.175 per hour per chip.



• Annual Profit:


For each chip:


0.175 × 8,760 ≈ $1,533 per year

For 100,000 chips, this equates to roughly $153.3 million per year in compute–level profit.



• Challenges:

Despite these numbers, the centralized system must cover its enormous CAPEX and high OPEX, limiting its scalability and increasing financial risk.



GNUS.ai Payout Structure

• Base Payout:

Each node earns $0.005 per hour in GNUS tokens.



• Distribution Breakdown:



• Node Operator Receives: 90% of $0.005, or $0.0045 per hour.

• Genius Ventures (GV) Receives: 10% commission (i.e., $0.0005 per hour) plus 10% of the tokens are burned (a deflationary measure that increases token value).

• Annual Gross Payout:


With approximately 6.7 million nodes:


6,700,000 × 0.005 × 8,760 ≈ $293 million per year (gross distributed value)

• Conversion Fees (if converting to USD):


Should operators choose to convert their tokens, a 2.5% fee plus an additional 1% fee (total of 3.5%) is applied.



• Effective Annual Payout after Fees:

$293 million × 0.965 ≈ $282.7 million

• However, most operators are expected to hold their tokens because of the deflationary benefits.

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Last updated 3 months ago

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