Solo OS is a modular, lightweight, and optimized Ubuntu-based operating system designed specifically for efficient machine learning model inference. It provides a flexible platform for deploying and managing inference engines, leveraging hardware accelerators, and ensuring high performance.
- Optimized for Model Inference: Enhanced performance for TensorFlow, PyTorch, and other ML frameworks.
- Modular Design: Easily add or remove components based on your needs.
- Lightweight: Minimal resource usage to maximize efficiency.
- Hardware Acceleration: Supports NVIDIA GPUs, AMD GPUs, and other accelerators.
- Comprehensive Monitoring: Integrated tools like Prometheus and Grafana for real-time monitoring.
- A machine with Ubuntu Minimal ISO as the base.
- Sufficient storage and a compatible GPU (optional but recommended).
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Clone the Repository
git clone https://github.com/yourusername/Solo-OS.git cd Solo-OS -
Run the Setup Script
./scripts/setup.sh
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Build the ISO
cd build/scripts ./build_iso.sh -
Customize the Installation Follow the prompts or modify the Ansible playbooks in
config/ansible/playbooks/as needed.
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Deploy Inference Engines
ansible-playbook config/ansible/playbooks/install_ml_frameworks.yml
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Monitor System Performance Access Grafana dashboards via
http://localhost:3000.
We welcome contributions! Please see CONTRIBUTING.md for guidelines.
This project is licensed under the MIT License.
For support or inquiries, please open an issue or contact your.email@example.com.