Machine Learning - eBook (EN)

2 Amazon SageMaker is a fully managed machine learning (ML) service to build, train, and deploy models at scale and at significantly lower costs compared to other ML options we offer. The total cost of ownership (TCO) of Amazon SageMaker over a three-year horizon can be over 54% lower compared to other self-managed cloud- based ML options. In addition to the lower TCO, Amazon SageMaker's fully managed and integrated features let you put ML ideas into production faster and improve data scientist productivity by up to 10 times. Teams of all sizes benefit from significantly lower TCO when using Amazon SageMaker. For example, over three years, a small team of 5 data scientists can realize up to 90% lower TCO using Amazon SageMaker versus building and maintaining their own ML services on Amazon EC2 (EC2) or Amazon EKS (EKS). Medium-sized teams of 15 data scientists can realize up to 87% lower TCO with Amazon SageMaker compared to EC2, and up to 85% lower TCO compared to EKS. Large teams of 50 data scientists can realize up to 79% lower TCO compared to EC2, and up to 65% lower TCO compared to EKS. Even larger teams of 250 data scientists can realize up to 77% lower TCO with Amazon SageMaker compared to EC2, and up to 54% lower TCO compared to EKS on AWS. Amazon SageMaker Total Cost of Ownership (TCO) Typically, the TCO for Amazon SageMaker is lower in the first year compared to the EC2 or EKS options because you must spend more on building security and compliance which largely come out-of-the-box in Amazon SageMaker. The TCO for Amazon SageMaker continues to remain significantly lower over time because Amazon SageMaker optimizes infrastructure usage automatically. One reason Amazon SageMaker has a strong TCO is because it is a fully managed service. You don't need to build, manage, or maintain any infrastructure or tooling to support ML. Amazon SageMaker also runs your model on auto-scaling clusters that are spread across multiple Availability Zones to deliver both high performance and high availability. Because you pay for storage and network based on your usage, costs are controlled. Teams Using Amazon SageMaker OVERALL SUMMARY Amazon SageMaker 3 year TCO Savings Compared to EC2 Compared to EKS Small Scenario 5 Data Scientists -90% -90% Medium Scenario 15 Data Scientists -87% -85% Large Scenario 50 Data Scientists -79% -65% Extra-Large Scenario 250 Data Scientists -77% -54%

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