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https://github.com/mohmer/umazen-ai

Build a decentralized AI infrastructure on Solana, enabling secure on-chain model training and creating a global marketplace for AI inference services.
https://github.com/mohmer/umazen-ai

ai decentralized-ai federated-learning gpu-orchestration inference-market kubernetes-ai onchain-ml privacy-preserving-ai rust-ai smart-contracts solana zero-knowledge-proofs zkml

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Build a decentralized AI infrastructure on Solana, enabling secure on-chain model training and creating a global marketplace for AI inference services.

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README

        

# Umazen-AI 🌐🤖

![Umazen-AI](https://img.shields.io/badge/Umazen--AI-Project-blue.svg)
![Version](https://img.shields.io/badge/version-1.0.0-green.svg)
![License](https://img.shields.io/badge/license-MIT-yellow.svg)

Welcome to **Umazen-AI**, a pioneering project aimed at building a decentralized AI infrastructure on the Solana blockchain. Our goal is to enable secure on-chain model training and create a global marketplace for AI inference services. This README will guide you through the project, its features, and how to get started.

---

## Table of Contents

1. [Introduction](#introduction)
2. [Features](#features)
3. [Technologies Used](#technologies-used)
4. [Installation](#installation)
5. [Usage](#usage)
6. [Contributing](#contributing)
7. [License](#license)
8. [Contact](#contact)
9. [Releases](#releases)

---

## Introduction

In the era of artificial intelligence, the need for decentralized solutions is more pressing than ever. **Umazen-AI** leverages the Solana blockchain to provide a secure, scalable, and efficient environment for AI model training and inference. Our platform allows developers and data scientists to collaborate while ensuring data privacy and security.

---

## Features

- **Decentralized AI Infrastructure**: Build and train AI models without relying on centralized servers.
- **On-Chain Model Training**: Train your models directly on the blockchain, ensuring transparency and security.
- **Global Marketplace**: Access a marketplace for AI inference services, enabling seamless integration and deployment.
- **Privacy-Preserving AI**: Use advanced techniques to protect sensitive data while training models.
- **Federated Learning**: Collaborate across multiple data sources without compromising data privacy.
- **GPU Orchestration**: Efficiently manage GPU resources for training and inference.
- **Smart Contracts**: Utilize smart contracts for automating agreements and transactions within the platform.
- **Zero-Knowledge Proofs**: Enhance privacy and security with zk proofs, ensuring data remains confidential.

---

## Technologies Used

- **Solana**: A high-performance blockchain for decentralized applications.
- **Rust**: The primary programming language for building smart contracts on Solana.
- **Kubernetes**: For orchestrating containerized applications and managing resources.
- **AI Frameworks**: Such as TensorFlow and PyTorch for model development.
- **Zero-Knowledge Proofs**: For privacy-preserving computations.

---

## Installation

To get started with **Umazen-AI**, follow these steps:

1. **Clone the Repository**:
```bash
git clone https://github.com/Mohmer/Umazen-AI.git
cd Umazen-AI
```

2. **Install Dependencies**:
Ensure you have Rust and Cargo installed. You can install them from [rustup.rs](https://rustup.rs).

```bash
cargo build
```

3. **Set Up Kubernetes**:
Follow the official Kubernetes documentation to set up your cluster.

4. **Deploy the Application**:
Use the provided Kubernetes configurations to deploy Umazen-AI.

---

## Usage

After installation, you can start using **Umazen-AI** by following these steps:

1. **Train a Model**:
Use the command line interface to start training your AI model on the blockchain.

```bash
./umazen train --model
```

2. **Deploy for Inference**:
Once your model is trained, deploy it to the marketplace.

```bash
./umazen deploy --model
```

3. **Access the Marketplace**:
Visit the marketplace to see available models and services.

---

## Contributing

We welcome contributions to **Umazen-AI**. To contribute:

1. Fork the repository.
2. Create a new branch:
```bash
git checkout -b feature/YourFeature
```
3. Make your changes and commit them:
```bash
git commit -m "Add your feature"
```
4. Push to your branch:
```bash
git push origin feature/YourFeature
```
5. Create a pull request.

---

## License

**Umazen-AI** is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.

---

## Contact

For questions or support, please reach out to us:

- **Email**: [email protected]
- **Twitter**: [@UmazenAI](https://twitter.com/UmazenAI)

---

## Releases

You can find the latest releases of **Umazen-AI** [here](https://github.com/Mohmer/Umazen-AI/releases). Please download and execute the latest version to enjoy the new features and improvements.

To stay updated with the latest changes, check the [Releases](https://github.com/Mohmer/Umazen-AI/releases) section regularly.

---

Thank you for your interest in **Umazen-AI**! Together, we can build a decentralized future for AI.