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:
- Installation - Set up the SDK in your environment
- 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.