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An Automatic Distributed Deep Learning Framework

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DLRover helps model developers focus on model algorithm itself, without taking care of any engineering stuff, say, hardware acceleration, distribute running, etc. It provides static and dynamic nodes' configuration automatically,, before and during a model training job running on k8s

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