In just 5 years, tens of thousands of customers have tapped Amazon SageMaker to create millions of models, train models with billions of parameters, and generate hundreds of billions of monthly predictions.
The seeds of a machine learning (ML) paradigm shift were there for decades, but with the ready availability of virtually infinite compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries now have access to its transformational benefits. To harness this opportunity and take ML out of the research lab and into the hands of organizations, AWS created Amazon SageMaker. This year, we celebrate the 5-year anniversary of Amazon SageMaker, our flagship fully managed ML service, which was launched at AWS re:Invent 2017 and went on to become one of the fastest-growing services in AWS history.
AWS launched Amazon SageMaker to break down barriers to ML and democratize access to cutting-edge

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