Deprecated features of DLAMI - Amazon Deep Learning AMIs
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Deprecated features of DLAMI

The following table lists the deprecated features of Amazon Deep Learning AMIs (DLAMI), the date that we deprecated them, and details about why we deprecated them.

Feature

Date

Details

Ubuntu 16.04

10/07/2021

Ubuntu Linux 16.04 LTS reached the end of its five-year LTS window on April 30, 2021 and is no longer supported by its vendor. There are no longer updates to the Deep Learning Base AMI (Ubuntu 16.04) in new releases as of October 2021. Previous releases will continue to be available.

Amazon Linux

10/07/2021

Amazon Linux is end-of-life as of December 2020. There are no longer updates to the Deep Learning AMI (Amazon Linux) in new releases as of October 2021. Previous releases of the Deep Learning AMI (Amazon Linux) will continue to be available.

Chainer

07/01/2020

Chainer has announced the end of major releases as of December, 2019. Consequently, we will no longer include Chainer Conda environments on the DLAMI starting July 2020. Previous releases of the DLAMI that contain these environments will continue to be available. We will provide updates to these environments only if there are security fixes published by the open source community for these frameworks.

Python 3.6

06/15/2020

Due to customer requests, we are moving to Python 3.7 for new TF/MX/PT releases.

Python 2

01/01/2020

The Python open source community has officially ended support for Python 2.

The TensorFlow, PyTorch, and MXNet communities have also announced that TensorFlow 1.15, TensorFlow 2.1, PyTorch 1.4, and MXNet 1.6.0 releases will be the last ones supporting Python 2.