Horovod
What it is
Horovod is a distributed training framework designed for TensorFlow, Keras, PyTorch, and Apache MXNet. It enables high-performance distributed training by utilizing efficient collective communication primitives.
The problem it solves
Overcomes the limitations of single-device training by providing a scalable framework for distributed computing.
What you could use it for
- Distributed training of deep learning models across multiple GPUs or nodes
- Scaling machine learning workloads using TensorFlow or PyTorch
- Implementing high-performance data-parallel training
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.