seniorKeras
What is model parallelism vs data parallelism in Keras?
Updated May 16, 2026
Short answer
Data parallelism splits data; model parallelism splits model layers.
Deep explanation
Data parallelism is more common and easier to implement. Model parallelism is used for extremely large models that don’t fit on a single device.
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