A lightweight performance proxy for deep‐learning model training on Amazon SageMaker
Rafael Keller Tesser,
Alvaro Marques,
Edson Borin
Abstract:SummaryCloud computing has become popular for training deep‐learning (DL) models, avoiding the costs of acquiring and maintaining on‐premise systems. SageMaker is a cloud service that automates the execution of DL workloads. Its features include automatic hyperparameter optimization and use of spot instances. Nonetheless, it does not assist in selecting the right instance type for a workload. In public clouds, rent price depends on the configuration of the chosen instance type. Advanced and faster instances ar… Show more
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