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Horovod is an open-source distributed deep learning training framework that supports PyTorch, TensorFlow, Keras, and Apache MXNet. Originally developed by Uber, it enables fast, scalable model training across hundreds of GPUs with only a few lines of Python code, delivering high scaling efficiency. It can be deployed on-premise or in the cloud (AWS, Azure, Databricks), can run on Apache Spark, and provides portable, framework-agnostic training across multiple frameworks as part of the LF AI Foundation.
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Sources
en.wikipedia.org shapes more of what AI says about Horovod than any other source, at 61% of its citations.
medium.com · aibars.net · alibabacloud.com · artificial-intelligence-wiki.com