Source: aws.amazon.com
Amazon SageMaker Continues to Lead the Way in Machine Learning and AnnounceCategory: Business, Security, Data, Docker, Infrastructure, artificial-intelligence
Since 2006, Amazon Web Services (AWS) has been helping millions of customers build and manage their IT workloads. As Machine Learning (ML) became a growing priority for our customers, they asked us to build an ML service infused with the same agility and robustness.
Furthermore, Amazon SageMaker includes many features that help training jobs run as fast and as cost-effectively as possible: optimized versions of the most popular machine learning libraries, a wide range of CPU and GPU instances with up to 100GB networking, and of course Managed Spot Training which lets you save up to 90% on your training jobs.
Amazon SageMaker is EvaluatedThe hundreds of new features added to Amazon SageMaker since launch are testimony to our relentless innovation on behalf of customers.
Getting Started with Amazon SageMaker As you can see, there are a lot of exciting features in Amazon SageMaker, and I encourage you to try them out!
Furthermore, Amazon SageMaker includes many features that help training jobs run as fast and as cost-effectively as possible: optimized versions of the most popular machine learning libraries, a wide range of CPU and GPU instances with up to 100GB networking, and of course Managed Spot Training which lets you save up to 90% on your training jobs.
Amazon SageMaker is EvaluatedThe hundreds of new features added to Amazon SageMaker since launch are testimony to our relentless innovation on behalf of customers.
Getting Started with Amazon SageMaker As you can see, there are a lot of exciting features in Amazon SageMaker, and I encourage you to try them out!
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