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Amazon SageMaker
Build, train, and deploy machine learning models at scale — Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale
What it is
Build, train, and deploy machine learning models at scale — Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning. [API, Developer Tools, Artificial Intelligence]
Signal score
vs category avg: +5.1Funding history
2 roundsMoat
Updated May 2026Amazon SageMaker leverages AWS's extensive cloud infrastructure, allowing for cost efficiencies, faster model deployment, and scalability that smaller providers cannot match, presenting a considerable competitive advantage.
4 sources
- →Organizations reported a 421% three-year ROI through their use of these AWS services. source
- →AWS GenAI solutions enable infrastructure and security teams to operate more efficiently, attributing an average of 24% staff time reduction. source
- →Study participants achieved greater scalability in GenAI model development and application delivery with Amazon SageMaker and Amazon Bedrock. source
- →Using Amazon Bedrock and SageMaker AI, organizations reported operational cost savings of $3.07 million per organization per year. source
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13,497 products launched in 2017 · 100% still active