Since its launch in November 2017, the AWS Deep Learning Amazon Machine Image (DLAMI) has been the preferred method for running deep learning frameworks on Amazon Elastic Compute Cloud (Amazon EC2). For deep learning practitioners and learners who want to accelerate deep learning in the cloud, the DLAMI comes pre-installed with AWS-optimized deep learning (DL) frameworks and their dependencies so you can get started right away with conducting research, developing machine learning (ML) applications, or educating yourself about deep learning. DLAMIs also make it easy to get going on instance types based on AWS-built processors such as Inferentia, Trainium, and Graviton, with all the necessary dependencies pre-installed.
The original DLAMI contained several popular frameworks such as PyTorch, TensorFlow, and MXNet, all in one bundle that AWS tested and supported on AWS instances. Although the multiple-framework DLAMI enables developers to explore various frameworks in a single image, some use cases require a

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