
Horovod

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About
Horovod is a distributed deep learning training framework originally developed by Uber. It supports PyTorch, TensorFlow, Keras, and Apache MXNet. It's designed for fast and easy use, enabling model training on hundreds of GPUs with high scaling efficiency. Horovod can be installed on-premise or run in cloud platforms like AWS, Azure, and Databricks. It can also run on top of Apache Spark, unifying data processing and model training. The same infrastructure can be used across different frameworks.
Platform
Task
Features
• easy to use
• portable across different frameworks and platforms
• high scaling efficiency
• scales to hundreds of gpus
• supports pytorch, tensorflow, keras, and apache mxnet
• distributed deep learning training framework
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