Distributed-Systems-for-AI

This repository explores the design and implementation of scalable and fault-tolerant distributed systems tailored for AI workloads. We focus on leveraging languages like Go and Rust for building high-performance microservices, optimizing for concurrency, and ensuring robust data pipelines for AI model training and inference.

Topics

• Microservices Architecture for AI
• Concurrency and Parallelism in Go/Rust
• Fault Tolerance and Resilience
• Distributed Data Processing
• Edge AI Deployment Strategies

Installation

# Clone the repository
git clone https://github.com/Whilly3/Distributed-Systems-for-AI.git
cd Distributed-Systems-for-AI

# Go projects will have their own go.mod and instructions
# Rust projects will have their own Cargo.toml and instructions

Usage

Each project within this repository will contain specific build and run instructions in its respective directory.

Contribution

Contributions are highly valued! Please adhere to the contribution guidelines when submitting your work.

License

This project is licensed under the MIT License.