Horovod is an open-source distributed deep learning training framework designed to simplify multi-GPU and multi-node training. It leverages TensorFlow and PyTorch to enable efficient communication between workers, making it a popular choice for AI research and production.
Key Features
- ✅ Cross-platform support: Works seamlessly with TensorFlow and PyTorch
- 🚀 High-performance communication: Uses MPI for fast data exchange
- 🛠️ Easy integration: Simplifies distributed training with minimal code changes
- 🌐 Scalability: Supports training on clusters with hundreds of GPUs
Use Cases
- 🧠 Training large-scale models like Transformer or ResNet
- 📈 Accelerating model optimization processes
- 🧪 Enabling collaborative AI research across teams
Getting Started
- 📦 Install Horovod via
pip install horovod
- 🧾 Write a simple training script with distributed settings
- 🔄 Run on multi-GPU systems using
horovodrun
For deeper technical details, check our Horovod Tutorials section. 📘