Amazon SageMaker is now available in the Asia Pacific (Seoul) AWS Region
Amazon SageMaker is now available in the Asia Pacific (Seoul) AWS region. Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
Amazon SageMaker is now available in the Asia Pacific (Seoul) AWS region. Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
Amazon SageMaker includes hosted Jupyter notebooks that make it easy to explore and visualize your training data. To help select your machine learning (ML) algorithm, SageMaker comes with the most common ML algorithms that are pre-installed and performance-optimized. Training models is quick and easy, using a set of built-in high-performance algorithms, pre-built deep learning frameworks, or using your own framework. To make the training even faster and easier, Amazon SageMaker can automatically tune your model to achieve the highest possible accuracy. Once your model is trained and tuned, it is easy to deploy in production so you can start generating real-time predictions on a fully-managed auto-scaling cluster.
Asia Pacific (Seoul) is the second Asia Pacific region and the sixth overall AWS region, where Amazon SageMaker is available. The service is also available in the US East (N.Virginia), US East (Ohio), US West (Oregon), Europe (Ireland) and Asia Pacific (Tokyo) AWS regions. Visit the documentation for more information on Amazon SageMaker.