techtide.vip
  • overview
    • There’s More Compute Than We Think
    • When Idle Compute Connects, Possibility Scales
  • introduction
    • TechTide Handles More Than Just Computing
      • Use Case 1: AI Model Inference Tasks
      • Use Case 2: Large-Scale Data Processing
      • Use Case 3: Web3 Verification & Off-Chain Computation
      • Use Case 4: Edge-Based Real-Time Task Execution
      • Use Case 5: Developer-Submitted Compute Tasks
    • How to Participate in TechTide
      • Step 1: Choose Your Mode of Participation
      • Step 2: Connect Your Identity
      • Step 3: Start Node & Receive Tasks Automatically
      • Step 4: Earn Points Through Uptime & Task Completion
      • Step 5: Redeem Points for $TTD and Access Network Benefits
    • Why TechTide Makes Sense to Join
  • System Architecture & Execution Layer
    • Task Scheduler Layer
    • WASM Execution Layer
    • Base Chain Integration Layer
    • Trust and Validation Layer
  • Tokenomics
    • Tokenomics
      • Utinity
      • Allocation
  • Roadmap
    • Roadmap
  • FAQ
    • FAQ
Powered by GitBook
On this page
  1. overview

When Idle Compute Connects, Possibility Scales

TechTide is a decentralized compute network designed to aggregate idle CPU and GPU resources from distributed devices, redirecting them toward real-world workloads such as AI inference, large-scale data processing, and Web3 network validation.

Unlike traditional “mining-style” node networks that serve a single consensus algorithm, TechTide directly processes practical computational tasks. Users run TechTide nodes without interfering with their regular device usage, contributing only during idle times to earn points and $TTD tokens.

The protocol supports modular participation via browser extensions, desktop clients, and (in future stages) mobile nodes, offering a low-friction gateway into the compute economy.

TechTide aims to build an open compute infrastructure that is task-driven, dynamically incentivized, and accessible regardless of hardware. It serves the immediate demands of AI and Web3, while laying the groundwork for more advanced use cases such as edge intelligence, distributed model hosting, and verifiable on-chain computation.

PreviousThere’s More Compute Than We ThinkNextTechTide Handles More Than Just Computing