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Building foundation models (FMs) requires building, maintaining, and optimizing large clusters to train models with tens to hundreds of billions of parameters on vast amounts of data. Creating a resilient environment that can handle failures and environmental changes without losing days or weeks of model training progress is an operational challenge that requires you to […]
Originally appeared here:
Introducing Amazon SageMaker HyperPod to train foundation models at scale
Go Here to Read this Fast! Introducing Amazon SageMaker HyperPod to train foundation models at scale
