USDAI
  • Introduction
  • Why Compute-Backed?
  • Vision & Purpose
  • GPU.NET Ecosystem
    • What is GPU.NET?
    • Key Components of GPU.NET
    • GPU.NET’s Mission
    • USDAI’s Role in the Ecosystem
  • USDAI Mechanics
    • How USDAI Works
    • Pegging Mechanism
    • Collateralization
    • Issuance and Redemption
    • Stability Mechanisms
    • Why It Works
  • USDAI Architecture
    • Architecture
    • Supported Blockchains
    • Interoperability
    • Smart Contracts
    • Security Features
  • Use Cases
    • USDAI Applications
    • AI/ML Workload Payments
    • DeFi Integrations
    • Compute Reservations
    • Broader Implications
  • Acquiring USDAI
    • How to Acquire USDAI
    • Using USDAI
    • Developer Integration
  • Governance and Community
    • Governance
    • Roadmap
    • FAQ
    • Support & Community
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  • USDAI’s compute-backed design addresses three critical trends:
  • AI Compute Demand Growth
  • Decentralized Compute Economy
  • Stable Payments for AI Agents

Why Compute-Backed?

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Last updated 3 months ago

USDAI’s compute-backed design addresses three critical trends:

AI Compute Demand Growth

The AI compute market is projected to exceed $100 billion by 2030, driven by machine learning, generative AI, and autonomous systems. USDAI provides a stable payment method tailored to this demand.

Decentralized Compute Economy

Centralized cloud providers dominate compute access today, but USDAI tokenizes GPU power, offering a decentralized alternative for developers and AI agents.

Stable Payments for AI Agents

Autonomous AI systems need a reliable, volatility-free currency for on-chain transactions. USDAI delivers this stability, tied to real-world utility.