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Amazon SageMaker Studio Lab from the Eyes of an MLOps Engineer

3 years ago thenewstack.io
Amazon SageMaker Studio Lab from the Eyes of an MLOps Engineer

Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →

At the https://aws.amazon.com/?utm_content=inline-mention‘ re:Invent 2021 conference, an announcement from https://www.linkedin.com/in/swaminathansivasubramanian, Vice President for Amazon AI, caught my attention — the launch of https://studiolab.sagemaker.aws/. Since the initial launch of the https://aws.amazon.com/about-aws/whats-new/2015/04/introducing-amazon-machine-learning/ at re:Invent 2015, AWS has constantly improved the managed ML platform and tools.

Amazon SageMaker Studio Lab is unique in many aspects.

Simply put, SageMaker Studio Lab is a JupyterLab application running in a pre-provisioned Amazon EC2 instance.

With inbuilt support for git and the availability of the AWS CLI, it’s easy to connect the platform with external environments, including Amazon SageMaker Studio.

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