AIFlow
  • Overview
    • Introduction
    • The Vision of AIFlow
    • Core Principles
  • Platform Structure
    • Layered Architecture
      • Consensus Layer
      • Data Layer
      • Service Layer
  • Development Roadmap
    • Phase 1: Infrastructure Platform Construction (Q3–Q4 2025)
    • Phase 2: Ecological Expansion (Q1–Q2 2026)
    • Phase 3: DAO Governance (Starting Q3 2026)
  • Getting Started With AIFlow
    • Creating a New AI Agent
    • Deploying Your AI Agent
  • Key Technology Innovations
  • Use Cases & Collaborations
    • Finance Sector
    • Gaming Sector
    • Future Expansion
  • Community and Support
    • Community Links
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  1. Platform Structure
  2. Layered Architecture

Service Layer

Service Layer

Purpose: Acts as the execution engine for AIFlow agents, supporting multi-modal ML tasks and secure runtime environments.

Key Features:

  • Compatibility with popular AI models (e.g., Nova, Gemini, LLaMA)

  • Unified embedding vector processing for text, images, and audio

  • gRPC-based remote procedure calls for efficient agent interactions

  • Hardware-backed security via Intel SGX or AWS Nitro Enclaves

  • Kubernetes-based distributed deployment for large-scale concurrency

  • Supports 10,000 concurrent agent runs

  • Processes 50,000 inference requests per second

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Last updated 16 days ago