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OpenGPU SDK Documentation

Welcome to the OpenGPU SDK - your gateway to distributed AI computing on the edge.

🚀 What is OpenGPU SDK?

The OpenGPU SDK is a Python library that enables developers to:

  • Write task handlers that execute on remote provider machines
  • Deploy AI workloads across the OpenGPU distributed network
  • Manage blockchain interactions for task publishing and response confirmation
  • Build scalable AI applications without managing infrastructure

Write your task. 🛰️ Deploy it. ⚡️ Let the network run it.


🌟 Key Features

  • 🎯 Simple API: Intuitive decorators and functions
  • ⚡ High Performance: Optimized for distributed computing
  • 🔒 Secure: Blockchain-based verification and payments
  • 📊 Monitoring: Built-in logging and error tracking
  • 🔧 Flexible: Support for various AI workloads
  • 📚 Well Documented: Comprehensive guides and examples

💡 Use Cases

  • 🤖 AI Model Inference: Deploy machine learning models at scale
  • 🎨 Image/Video Processing: Distributed media processing workflows
  • 📊 Data Analysis: Large-scale data processing and analytics
  • 🔬 Scientific Computing: Complex computational research tasks
  • 🎮 Game Development: Distributed game logic and AI systems
  • 💰 DeFi Applications: Decentralized finance computation tasks

🚀 Quick Navigation

Ready to get started? Follow these steps:

  1. Installation - Set up the SDK in your environment
  2. Quick Start - Build your first task in minutes

Or explore the documentation:

  • Sources - Learn about creating and deploying services
  • Tasks - Understand task publishing and management
  • Responses - Handle and manage task results
  • API Reference - Detailed function documentation

🤝 Community & Support

  • GitHub: OpenGPU SDK Repository
  • Issues: Report bugs and request features
  • Discussions: Community support and questions

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.