Getting Started with Gensyn
Gensyn is a peer-to-peer reinforcement learning system that enables collaborative AI model training across distributed computational resources. Whether you're new to distributed AI or an experienced node operator, this guide will help you get started.
What is Gensyn?
Gensyn's RL Swarm is a peer-to-peer system designed for reinforcement learning that allows users to:
- Train AI models collaboratively using distributed computing power
- Contribute computational resources to the network and earn rewards
- Access shared AI training without needing massive individual hardware
- Participate in experimental AI research on the Gensyn Testnet
Why Run a Gensyn Node?
- Easy Setup: Simple Docker-based installation process
- Flexible Hardware: Supports both CPU and GPU configurations
- Learning Opportunity: Great way to learn about distributed AI systems
- Community Driven: Join a growing network of AI enthusiasts
- Testnet Rewards: Participate in testing and earn potential rewards
System Requirements
Minimum Requirements
- CPU: arm64/x86 architecture
- RAM: 32 GB minimum
- Storage: 50 GB available space
- Network: Stable internet connection
- Software: Docker installed
Recommended for GPU Training
- GPU: CUDA-compatible devices
- RTX 3090, 4090, 5090
- A100, H100 (for professional setups)
- RAM: 32 GB or more
- Storage: 100 GB+ SSD
Software Dependencies
- Python: 3.10 or later
- Docker: Latest version
- Git: For repository cloning
Network Information
- Testnet: Currently running on Gensyn Testnet
- Dashboard: dashboard.gensyn.ai
- Repository: github.com/gensyn-ai/rl-swarm
- Status: Experimental - Active development
Getting Started
- Check Prerequisites: Ensure your system meets the requirements
- Install Docker: Required for running the node
- Clone Repository: Get the latest Gensyn RL Swarm code
- Configure Settings: Set up your node preferences
- Start Training: Join the distributed AI training network
Important Notes
Gensyn RL Swarm is currently in experimental phase. Expect:
- Frequent updates and changes
- Potential instability during development
- Need for community feedback and bug reports
You'll need to register with an email address to participate in the network. Your peer identity is managed through a swarm.pem
file that will be generated during setup.
Next Steps
Ready to start? Head over to our Installation Guide to begin setting up your Gensyn node, or check out the Monitoring Guide to learn about tracking your node's performance.
Community & Support
- GitHub Issues: Report bugs and request features
- Dashboard: Monitor network activity and your contributions
- Documentation: Stay updated with the latest guides and tutorials
Join the growing community of AI enthusiasts contributing to distributed machine learning!