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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  1. Acquiring USDAI

Using USDAI

Once you’ve acquired USDAI, using it within GPU.NET is straightforward. Follow these steps to pay for compute tasks, redeem credits, or withdraw assets.

Step 1: Connect a Compatible Wallet

  • Purpose: Link your USDAI holdings to Dapp.gpu.net for seamless interaction.

  • Supported Wallets:

    • MetaMask: Ethereum, Polygon.

    • Phantom: Solana.

    • Sollet: Solana (alternative).

    • GANChain Wallet: Native wallet (TBD post-launch).

  • Process:

    1. Install your preferred wallet extension or app.

    2. Add the relevant network (e.g., Polygon Mainnet, Solana Mainnet) and import USDAI’s token contract address (provided post-TGE).

    3. Visit Dapp.gpu.net, click “Connect Wallet,” and authorize the connection.

  • Tip: Ensure your wallet has sufficient gas tokens (e.g., ETH, MATIC, $GPU) for transaction fees.

Step 2: Select a Compute Task and Pay with USDAI

  • Purpose: Use USDAI to access GPU resources for your AI or HPC needs.

  • Process:

    1. Browse Dapp.gpu.net’s marketplace for available GPUs (e.g., “NVIDIA A100, 5 hours, $10”).

    2. Select your task (e.g., ML training, inference) and input requirements (e.g., 10 GPU-hours).

    3. Pay with USDAI (e.g., 10 USDAI), approving the transaction in your wallet.

    4. The system allocates compute resources, accessible via API or direct integration.

  • Example: A developer pays 20 USDAI for 20 hours of GPU time to train a computer vision model, with resources activated instantly on Solana.

  • Options: Choose immediate use or pre-book for later (see Compute Reservations).

Step 3: Redeem USDAI for Compute Credits or Withdraw Assets

  • Purpose: Convert USDAI back into usable compute or liquid assets as needed.

  • Process:

    1. Navigate to the “Redeem” section on Dapp.gpu.net.

    2. Choose your redemption type:

      • Compute Credits: Burn USDAI (e.g., 15 USDAI) for GPU access.

      • Asset Withdrawal: Swap USDAI for ETH, SOL, etc., based on liquidity (e.g., 100 USDAI for 0.05 ETH).

    3. Confirm the transaction; credits activate, or assets transfer to your wallet.

  • Example: An enterprise burns 500 USDAI to secure a month of HPC compute, while a trader withdraws 200 USDAI as USDC on Polygon.

  • Note: Redemption availability depends on network liquidity and compute supply.

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Last updated 3 months ago