Cloud Docs
  • Overview
  • Introduction
    • Background
    • Problem Statement
    • Objectives
  • Market Analysis
    • Industry Overview
    • Target Market
    • Competitive Landscape
    • Market Opportunity
  • The $CLOUD Token
    • Tokenomics
    • Allocation and Distribution
    • Buy and Sell Tax Structure
    • Token Utility
  • Staking Mechanism
    • Staking Protocol
    • Reward Distribution
    • Security Measures
  • On-Demand GPU Rental Platform
    • Platform Architecture
    • User Authentication and Payment Systems
    • GPU Integration / Hosting
    • One-Click Deployment and Templates
    • User Workflow
  • Development of the $CLOUD SDK
    • Purpose and Goals
    • Features and Capabilities
    • Enhancing Network Scalability
    • Technical Implementation
Powered by GitBook
On this page
  1. On-Demand GPU Rental Platform

One-Click Deployment and Templates

To enhance user experience and simplify complex processes:

  • Pre-Configured Templates:

    • Offers ready-to-use environments for popular frameworks such as PyTorch, TensorFlow, CUDA, and OpenCL.

    • Templates include optimized configurations for specific tasks like neural network training, data analysis, and rendering.

  • One-Click Deployment:

    • Users can deploy computational tasks with a single click, eliminating the need for extensive setup or technical expertise.

    • The system automatically provisions resources, configures environments, and initiates tasks.

  • Customization Options:

    • Advanced users can upload custom configurations, Docker images, or scripts to tailor the environment to their specific needs.

    • Supports various programming languages and tools, providing flexibility for diverse applications.

PreviousGPU Integration / HostingNextUser Workflow