New – Managed Data Parallelism in Amazon SageMaker Simplifies Training on Large Datasets

[giraffelife]

Today, I’m particularly happy to announce that Amazon SageMaker now supports a new data parallelism library that makes it easier to train models on datasets that may be as large as hundreds or thousands of gigabytes. As data sets and models grow larger and more sophisticated, machine learning (ML) practitioners working on large distributed training […]

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