Release notes

This page documents production updates to Deep Learning Containers. You can periodically check this page for announcements about new or updated features, bug fixes, known issues, and deprecated functionality.

You can see the latest product updates for all of Google Cloud on the Google Cloud page, or browse and filter all release notes in the Google Cloud Console.

To get the latest product updates delivered to you, add the URL of this page to your feed reader, or add the feed URL directly: https://cloud.google.com/feeds/aiplatformdeeplearningcontainers-release-notes.xml

July 15, 2021

M75 Release

  • Enhanced environment configurations so it is easier to install additional frameworks in CUDA containers.

June 22, 2021

M73 Release

  • Upgraded TensorFlow Enterprise 2.1.3 to 2.1.4.
  • Upgraded TensorFlow Enterprise 2.3.2 to 2.3.3.
  • Miscellaneous bug fixes and updates.

June 17, 2021

M72 Release

  • Added PyTorch 1.9 and PyTorch/XLA 1.9 containers.

June 02, 2021

M71 release

May 14, 2021

M70 Release

  • Added TensorFlow Enterprise 2.5 containers. Note this is an Enterprise version but not a Long Term Support (LTS) version.

May 13, 2021

M69 Release

  • Updated cuDNN from 8.0.4 to 8.0.5.

May 05, 2021

M68 Release

  • Upgraded R containers from 3.6 to 4.0.
  • Added xai-tabular-widget onto all TensorFlow containers.
  • Miscellaneous bug fixes and updates.

April 19, 2021

M67 Release

  • Added Horovod to TensorFlow GPU containers.
  • Regular package refreshment and bug fixes.

March 31, 2021

M66 Release

March 05, 2021

M65 release

  • Upgraded tensorflow-cloud to 0.1.13.

  • Regular package refreshment and bug fixes.

February 19, 2021

M64 release

  • Upgraded TensorFlow 2.4 to 2.4.1.

  • Upgraded TFX and Fairness Indicators from 0.26.0 to 0.27.0.

  • Miscellaneous bug fixes and updates.

Swift For TensorFlow

  • The Swift For TensorFlow project is entering archive mode. Containers will be deprecated and will no longer receive updates after this release.

February 08, 2021

M63 release

January 25, 2021

General Availability

AI Platform Deep Learning Containers is now generally available.

Python 2

Python 2 is no longer supported in Deep Learning Containers. Read more about Python 2 support on Google Cloud.

M62 release

  • Upgraded TensorFlow 2.3 to 2.3.2

  • Upgraded TensorFlow 2.1 to 2.1.3

  • Miscellaneous bug fixes and updates

December 16, 2020

Added TensorFlow 2.4 Deep Learning Containers images.

October 28, 2020

  • Added PyTorch 1.6 CUDA 11 environments that support A100 GPU accelerators. This special PyTorch build provides another option to add to our A100-compatible TensorFlow Enterprise builds.

August 17, 2020

TensorFlow Enterprise 2.3 environments are now available. These environments include support for A100 GPU accelerators, CUDA 11, and TensorFloat-32 (TF32).

January 08, 2020

TensorFlow Enterprise environments are now available. Use TensorFlow Enterprise with Deep Learning Containers.

June 24, 2019

AI Platform Deep Learning Containers is now available in beta. AI Platform Deep Learning Containers lets you quickly prototype with a portable and consistent environment for developing, testing, and deploying your AI applications.

Visit the AI Platform Deep Learning Containers overview and the guide to getting started with a local deep learning container.