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Blog
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Amazon SageMaker AI is AWS’ managed service for automating Machine Learning tasks and it’s a great option to build, train and deploy ML models in the cloud. However, due to their high data processing and compute nature, ML tasks have the potential to incur very high AWS cost (it’s not uncommon to see thousands of dollars spent in AWS due to ML heavy processes). In this article I’ll cover a number of important considerations and strategies in order to keep AWS SageMaker cost under control. Savings Plans are a very effective way for AWS customers to reduce costs (more than 60% savings in some cases). Similar to Reserved Instances, Savings Plans deliver cost reductions in exchange for a long-term commitment. However, when comparing Savings Plans and Reserved Instances, there are many different dynamics to consider. These...
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