Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. It makes it easy to run distributed training jobs using multiple GPUs or machines, which can significantly reduce training time for large models and datasets. It is commonly used for tasks like image recognition, natural language processing, and recommendation systems where the datasets and model sizes require distributed training.
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