Amazon SageMaker Studio Lab supports SageMaker Distribution
We are excited to announce that Amazon SageMaker Studio Lab now supports the SageMaker Distribution image. Studio Lab customers have often asked for an environment that comes pre-installed with popular libraries including PyTorch, TensorFlow, and Keras, and an easier way to migrate their Studio Lab environment to Amazon SageMaker Studio. SageMaker Distribution fulfills both of these needs.
We are excited to announce that Amazon SageMaker Studio Lab now supports the SageMaker Distribution image. Studio Lab customers have often asked for an environment that comes pre-installed with popular libraries including PyTorch, TensorFlow, and Keras, and an easier way to migrate their Studio Lab environment to Amazon SageMaker Studio. SageMaker Distribution fulfills both of these needs.
As of today, Studio Lab customers will have a new environment available called SageMaker Distribution. This environment comes with over 18 Python libraries that are compatible with each other. This environment is persistent and does not use any of the free 15 GB allocated to customers, thus saving storage for users’ data. Additionally, customers can easily migrate their Studio Lab work to SageMaker Studio, because SageMaker Distribution environments are compatible.
Amazon SageMaker Studio Lab is a free machine learning (ML) development environment that provides the compute, storage, and security—all at no cost—for anyone to learn and experiment with ML.
To learn more about Amazon SageMaker Studio Lab see: