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  • Project Basics
    • Overview
    • The Challenge
    • Project Timeline
    • The Creo Platform
  • Exploring Our Products
    • Creo Node Interface
    • Creo Automation
    • Creo Virtual Replica
    • Personalized Agent Integration (BYOA)
    • Creo Infrastructure
    • Creo Node Management
    • Creo Node Instance
    • Creo Verification Nodes
  • Network Participants
    • Participants and Functions
  • Technology Overview
    • Decentralized Processing Network
    • Security and Data Protection Framework
    • Digital Agreements
    • Support Across Varied Hardware
    • Efficiency Enhancements
    • Service Excellence (QoS)
    • Trustworthiness System
  • System Architecture Explained
    • General Architecture
    • Agent Core Components
    • Detailed Look at Creo Node
    • Creo Environment Structure
    • Integration and APIs
  • Setting Up Creo Node
    • 1. Getting Started
    • 2. Installing Docker
    • 3. Using Docker Desktop
    • 4. PowerShell Guide
    • 5. Downloading the Docker Image
    • 6. Registering Your Worker
  • Practical Applications
    • Use Cases Overview
    • Applications in Major Companies
    • Solutions for SMEs
    • Benefits for High-Profile Individuals
  • The Creo Ecosystem
    • Earning and Reward System
    • Business Operations Model
  • The Creo Foundation
    • About the Foundation
    • Volunteer Computing Initiatives
  • Legal Information
    • Terms of Service
    • Privacy Policies
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  • TECHNOLOGY STACK
  • Distributed with Diverse Hardware Support
  1. Technology Overview

Support Across Varied Hardware

TECHNOLOGY STACK

Distributed with Diverse Hardware Support

Creo empowers developers to build and deploy large-scale AI Agents, leveraging thousands of AI Models (LLMs, Visual Models, etc.) across a geographically distributed network with diverse hardware configurations.

  • Simplified Development and Deployment: By leveraging Nomad and specialized libraries, Creo streamlines the development and deployment of compute-intensive AI workloads across a massive grid of Model Host Computers.

  • Broad Hardware Compatibility: Creo Cloud supports a wide range of compute hardware, including NVIDIA and AMD Ryzen series GPUs, as well as Intel, AMD, and Apple M2 CPUs with Neural Engines.

  • Minimum Hardware Requirements: To participate in the Beta network as a Model Host Computer, your system should meet the following minimum requirements:

    • 8 GB or more of RAM

    • Nvidia System Support for Beta Release

    • Windows or Linux operating system

    • At least 500 GB of free disk space

    • Reliable internet connection with download speeds exceeding 100 Mbps, upload speeds exceeding 20 Mbps, and ping below 60ms to our Head Node.

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Last updated 1 month ago