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AWS offers a broad array of services and infrastructure at all three layers of the machine learning technology stack, ranging from high performance compute instances running the latest GPUs and custom-designed silicon for training and inference, to the Amazon SageMaker family of services that allows data scientists and developers to quickly build, train, and deploy high-quality models, to a full complement of AI services for use cases like demand forecasting, fraud prevention, personalized recommendations, document analysis, and much more.
More than 100,000 customers trust AWS for Machine Learning, and the company aims to put machine learning in the hands of every developer, data scientist and enthusiast with newly announced offerings like Amazon SageMaker Studio Lab which offers free JupyterLab Notebooks, GPU Compute and Storage for your machine learning projects.
To learn more about AWS machine learning services, and how they’re helping customers accelerate their machine learning journeys, visit aws.amazon.com/machine-learning/. Be sure to check out studiolab.sagemaker.aws to sign up for SageMaker Studio Lab.
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