Grafilab
  • Getting Started
  • Whitepaper
    • Introduction
    • Market Overview
    • Challenges
    • Goal
    • What Are We Building?
    • Grafi Cloud
      • Core Features
      • How It Works
      • Payment and Incentives
      • Advanced Features
    • Grafi Co-Builder
      • Main Services of Co-Builder
      • How It Works
      • Supporting Large-Language-Model
      • Supporting Framework
    • Grafi AI App Store
      • Key Features of the Grafi AI App Store
    • Grafi AI Data Layer
      • Key Components of the Data Layer
      • How the Data Layer Works
    • Ecosystem (Flywheel)
      • Revenue Streams of Grafilab
      • Grafi's Universal Payment and Burning Mechanism
    • Token Info
      • Token Distribution and Allocations
      • Token Utility
      • Token Emission
  • Roadmap
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  1. Whitepaper

Ecosystem (Flywheel)

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Last updated 3 months ago

This flywheel demonstrates the self-reinforcing cycle of the $GRAFI ecosystem, where each component drives growth and value for the next, creating a continuous loop of demand, rewards, and adoption.

  1. AI Agents: These are the AI Application and Agents utilizing the Grafilab ecosystem, including AI models and developers. As more usesrs, create more demands. Their activity generates demand for GPU resources and infrastructure.

  2. Grafi GPU Cloud Inference API: This component fulfills the demand by providing scalable GPU power for AI tasks, enhancing the capabilities of AI agents and models. More demand leads to more revenue for the ecosystem.

  3. $GRAFI Token: Revenue generated from GPU usage is tied to the $GRAFI token. Increased demand for services drives token value and usage within the ecosystem.

  4. Contributors: Token rewards and economic incentives attract contributors such as GPU owners and developers, who supply GPU power and contributions to the network. This strengthens the infrastructure.

  5. Co-Builder: Contributors and resources support the Co-Builder platform, enabling the deployment and scaling of AI models. This increases value creation and rewards for developers and contributors.

  6. More Deployment & Rewards: As more AI models and applications are deployed, the ecosystem grows, attracting additional users and generating further demand.