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# 0G Chain
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Zero Gravity (0G) is the foundational infrastructure for high-performance dapps and chains particularly for AI.
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It efficiently orchestrates utilization of hardware resources such as storage and compute and software assets such as data and models to handle the scale and complexity of AI workloads.
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Continue reading [here ](https://docs.0g.ai/intro ) if you want to learn more about 0G dAIOS and how its various layers enable limitless scalability.
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## 0G Product Suite
- DA: ultra high-performance data availability layer with KZG and quorum-based DAS
- Storage: decentralized storage with erasure coding and replication
- Inference Serving: flexible serving framework for inferences and finetuning
- Network: high-performance, low-latency, and decentralized network
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## Documentation
- If you want to build with 0G's network, DA layer, inference serving, or storage SDK, please refer to the [Build with 0G Documentation ](https://docs.0g.ai/build-with-0g/contracts ).
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- If you want to run a validator node, DA node, or storage node, please refer to the [Run a Node Documentation ](https://docs.0g.ai/run-a-node/overview ).
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## Getting Started
To get started with 0G Chain, you'll need to:
1. Read our [documentation ](https://docs.0g.ai/intro )
2. Choose which component you want to work with (DA, Storage, Inference Serving, or Network)
3. Follow the setup instructions in the relevant documentation section
## Contributing
We welcome contributions from the community! Here's how you can contribute:
1. Fork the repository
2. Create your feature branch (`git checkout -b feature/AmazingFeature`)
3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
Please make sure to:
- Follow our coding standards
- Write clear commit messages
- Update documentation as needed
- Add tests for new features
## Technical Overview
0G Chain consists of several key components:
### Data Availability (DA) Layer
- Ultra high-performance with KZG commitments
- Quorum-based Data Availability Sampling
- Optimized for AI workloads
### Decentralized Storage
- Erasure coding for data reliability
- Efficient replication mechanisms
- Optimized for large-scale AI models
### Inference Serving
- Flexible framework for AI model deployment
- Support for model fine-tuning
- Distributed inference capabilities
### Network Layer
- High-performance P2P communication
- Low-latency data transfer
- Decentralized architecture
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## Support and Additional Resources
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We're here to help you succeed in contributing to and building with 0G Chain:
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### Official Links
- [Official Website ](https://0g.ai )
- [Technical Documentation ](https://docs.0g.ai )
- [GitHub Repository ](https://github.com/0glabs )
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### Communities
- [0G Telegram ](https://t.me/web3_0glabs )
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- [0G Discord ](https://discord.com/invite/0glabs )