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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On this page
  • What It Is
  • Cost Structure
  • Limitations
  1. About GNUS.AI
  2. Features and Benefits
  3. GNUS.ai Network vs. Centralized xAI 100k Cluster

4. The Centralized xAI 100k Cluster Explained

What It Is

A centralized xAI cluster is a traditional data center approach that uses high–end chips—such as Nvidia H100 GPUs—to deliver massive compute power. For example:

• Compute Performance: Each chip delivers about 67 TFlops.

• Scale: A 100k–chip cluster would provide immense processing power.

Cost Structure

• CAPEX:

• Estimated at around $6 billion to build a 100k–chip cluster (including hardware, data centers, cooling systems, etc.).

• OPEX:

• Compute Cost: Approximately $1.75 per chip per hour is charged to cover operating costs.

• Electricity, Cooling, Network, and Storage: Additional high–cost items add hundreds of millions per year to the operating budget.

• Total Annual OPEX: Could reach $1.7 billion per year.

Limitations

• High Capital Requirements:

A centralized cluster requires enormous upfront investments and heavy financing.



• Operational Complexity:

Managing a centralized cluster involves dealing with high electricity usage, significant network costs, and storage complexities.



• Scalability Issues:

Scaling a centralized system requires even more capital and increases operational risks.

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Last updated 3 months ago

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