BytenovaAI Docs
  • πŸ‘Welcome
  • Intro
    • πŸ€–What is BytenovaAI
    • ⭐Vision & Mission
    • πŸ’ͺMain Backers & Partnerships
    • 🌐Official Site
  • Clustroai geek station
    • 🧠Technology Overview
  • πŸ§‘β€πŸ’»Edge AI in Action
  • πŸ•ΈοΈProtocol Architecture
  • What is next
    • πŸ—ΊοΈRoadmap
    • πŸ› οΈChallenges & Solutions
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  • BytenovaAI Core Innovations
  • Containerized Edge AI Framework
  • Unified API & Protocol Layer
  • Hardware-Agnostic Acceleration
  • Secure Multi-Party Computation (SMPC)
  1. Clustroai geek station

Technology Overview

BytenovaAI Core Innovations

Containerized Edge AI Framework

  • Lightweight AI Agents: Deploy models in isolated containers across edge nodes, enabling local training and inference without cloud dependency.

  • GPU Orchestration: Dynamically allocate compute resources based on real-time demand, reducing costs by 40% compared to centralized cloud solutions.

Unified API & Protocol Layer

  • Single Interface Control: Simplify integration with a unified API for managing AI workflows across clouds, edge nodes, and mobile endpoints.

  • Protocol-Driven Scheduling: Automate resource allocation and task prioritization using decentralized governance mechanisms.

Hardware-Agnostic Acceleration

  • Supports GPU, TPU, FPGA, and NPU architectures, ensuring compatibility with diverse AI applications in healthcare, manufacturing, and IoT.

Secure Multi-Party Computation (SMPC)

  • Collaborate on model training without exposing raw data, leveraging encrypted channels and federated learning frameworks.

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Last updated 2 months ago

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