Horovod Documentation - Getting Started Guide

Welcome to the official documentation for Horovod - a distributed deep learning training framework designed for TensorFlow and PyTorch. 🚀

📚 Key Features

• High Performance: Optimized for multi-GPU and multi-node training with efficient communication.
• Ease of Use: Seamless integration with existing workflows.
• Scalability: Supports training on clusters with thousands of GPUs.

🛠 Installation

1. Prerequisites: Ensure TensorFlow/PyTorch and MPI are installed.
2. Install Horovod:

   pip install horovod
   

   Read more about installation →

🧠 Tutorials

• Getting Started with TensorFlow
• Getting Started with PyTorch
• Advanced Usage Guide

🌐 Community & Resources

• Join our GitHub Discussions for support.
• Explore Horovod benchmarks to compare performance.

Let me know if you need further assistance! 💬