EMETH White Paper
  • EMETH White Paper
  • 1. Introduction
    • 1-1. The Need for a Global Distributed Computing Platform
  • 2. Project
    • 2-1. EMETH's Vision
    • 2-2. Overview of EMETH Project
      • 2-2-1. Data Privacy Protection
      • 2-2-2. Hybrid Parallel Processing
      • 2-2-3. EMETH L2 Roll Up
  • 3.Token Economy
    • 3-1. EMETH ($EMETH) Token Overview
    • 3-2. Token Allocation
    • 3-3. EMETH Token Utility
    • 3-4. GPU Mining Program
      • 3-4-1. Staking Program.
    • 3-5. Calculation Method for JOB Execution Fees
    • 3-6. Overview of fee state transition
  • 4. Node
    • 4-1. Benefits that EMETH node can enjoy
    • 4-2. How to Become a EMETH Node
      • 4-2-1. How to set up EMETH Node for Windows users
      • 4-2-2. How to set up EMETH Node for Ubuntu users
      • 4-2-3. How to set up EMETH Portable for mobile device users
  • 5. Service
    • 5-1. AI Inference
      • 5-1-1 Pricing
    • 5-2. Rent GPUs
  • 6. DAO
    • 6-1. EMETH DAO
  • 7. EMETH Architecture
    • 7-1. Overview
      • 7-1-1. Splitter
      • 7-1-2. Aggregator
      • 7-1-3. Verifier
      • 7-1-4. Signer
    • 7-2. Layer 1 Entire Process
    • 7-3. Layer 2 Entire Process
  • 8. ROADMAP
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  1. 5. Service

5-1. AI Inference

In the era of web3, EMETH will play a crucial role as the infrastructure underlying various AI services. The distributed computing platform that EMETH provides, supplying the computational resources necessary for the development and operation of AI services efficiently and flexibly, will continue to support the growth and development of each service.

In most cases, when utilizing AI Large Language Models (LLMs), whether through their APIs or through services available on platforms like AWS Marketplace, there are substantial GPU costs hidden behind their operation. To solve this cost-related challenge, web3 EMETH aims to provide access to various LLMs at more affordable rates by leveraging unused GPU resources.

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Last updated 6 months ago