Neurolov
  • 1. Introduction
  • 2. Getting Started
  • 3. Core Features
  • 4. User Guides
  • 5. Token Economics
  • 6. Community & Support
  • 7.Advanced Features
  • 8. Platform Security
  • 9. Updates & Roadmap
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On this page
  • 1.1 What is Neurolov
  • Current Statistics
  • Core Platform Features
  • 1.2 Vision & Mission
  • Vision
  • Mission
  • 1.3 Market Opportunity
  • Market Size
  • Serviceable Markets
  • Growth Drivers
  • 1.4 Problem Statement & Solution
  • Current Market Challenges
  • Neurolov's Solution

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1. Introduction

1.1 What is Neurolov

Neurolov is a simple computing ecosystem that revolutionizes access to GPU/CPU resources and AI capabilities through browser-based technology. By integrating WebGPU, blockchain technology, and advanced resource allocation algorithms, we enable anyone to participate in and benefit from distributed & decentralized computing.

Current Statistics

  • Active GPU Nodes: 200

  • Total Computing Power: 85,000 TFLOPS

  • Operational Hours: 400+

  • Average Resource Utilization: 78%

  • Network Uptime: 99.99%

Core Platform Features

  1. Browser-based GPU resource sharing via WebGPU

  2. AI model marketplace with pre-trained models

  3. Seamless Telegram micro-app integration

  4. Multi-chain architecture (Solana + TON)

  5. Advanced proof of computation system

1.2 Vision & Mission

Vision

Our vision is to push the limits of artificial intelligence (AI) and spearhead the shift towards artificial general intelligence (AGI). We envision a future where AI agents are effortlessly incorporated into routine activities, boosting human potential and raising standards of living.

Mission

Our mission is to transform how cutting-edge AI technologies are used and integrated. We aim to:

  • Provide developers and businesses with state-of-the-art resources

  • Build scalable, secure, and intelligent AI solutions

  • Increase efficiency, affordability, and accessibility of AI development

  • Foster innovation through the latest LLM and GPU technologies

1.3 Market Opportunity

Market Size

  • Total Addressable Market (TAM):

    • Global GPU Cloud Market: $388B

    • AI Infrastructure Market: $160

    • Decentralized Computing: $25B

Serviceable Markets

  • GPU Cloud Services: $85B

  • AI Model Training: $30B

  • Edge Computing: $15B

Growth Drivers

  • Increasing demand for AI/ML applications

  • Growth in cloud gaming

  • Rise of decentralized computing

  • Expansion of metaverse applications

1.4 Problem Statement & Solution

Current Market Challenges

  1. Resource Accessibility

    • High hardware costs

    • Geographic limitations

    • Supply chain constraints

  2. Technical Barriers

    • Complex deployment requirements

    • Integration challenges

    • Scalability issues

  3. Economic Factors

    • High operational costs

    • Unpredictable pricing

    • Limited monetization options

Neurolov's Solution

  1. Democratized Access

    • Browser-based computing

    • No installation required

    • Pay-as-you-go model

  2. Technical Innovation

    • WebGPU implementation

    • Decentralized architecture

    • Automated resource allocation

  3. Economic Benefits

    • Reduced costs (70% lower than traditional providers)

    • Fair reward distribution

    • Multiple revenue streams

Next2. Getting Started

Last updated 3 months ago

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