start
  • 👋Welcome
  • 📖Introduction
  • 💡Use Cases
  • 🧑Personas
    • Film Production
    • Animation Studios
    • Game Developer
    • Industrial Design
    • Advertising
    • AI Image Generation / Text-to-Image
    • Speech-to-Text & Text-to-Speech
    • AI Video Enhancement & Processing
    • AI Object Detection & Image Analysis
    • Enterprise LLM API
    • Private Knowledge Base LLM (RAG - Retrieval-Augmented Generation)
    • Family Photographer
    • Indie Game Developer
    • Aspiring 3D Artist
    • Playstation Gamer
  • 🚀Get Started
    • Janction Node Operation Graphic Tutorial
  • 🔗Related Work
  • 🏗️Architecture
    • Actor Model
  • 🖥️Pooling
  • 🪙Token
  • ⚡Colocation of Idle Processor Computing Power
  • ✅Proof of Contribution
  • 🎮GPU Marketplace
    • Pricing strategy based on pvcg
  • ❓HELP FAQ
    • FAQ
      • How Janction Efficiently Stores AI/ML Models for Different Users？
      • Compared to traditional cloud GPU platforms, how does Janction's distributed idle GPU computing powe
      • How does Janction ensure the efficiency and quality of data annotation for various data types with d
      • How does Janction's execution layer handle the various AI subdomain functionalities?
      • How does Janction select and use different DAs?
      • Is Janction considering adopting the security guarantees provided by Restaking?
      • What is the current progress of Janction’s product technology?
      • How will Janction consider airdropping to the community?
  • 🛣️Roadmap
  • 📜Policy
    • Terms
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  1. HELP FAQ
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What is the current progress of Janction’s product technology?

Currently it is mainly PoC and is about to enter the MVP stage. Products under internal testing will mainly implement GPU computing power aggregation, task scheduling and distribution, and Layer 2 integration and operation.

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Last updated 11 months ago

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