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Hi, SageMaker will replicate a subset of data (1/n ML compute instances) on each ML compute instance that is launched for model training when you specify ShardedByS3Key. If there are n ML compute instances launched for a training job, each instance gets approximately 1/n of the number of S3 objects. This applies in both File and Pipe modes. Keep this in mind when developing algorithms.
To answer your question: How much data of each worker get to train, 1 file or 2 files? 1 file each from the training channel.
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