M128 release

• Except for TensorFlow container images, new container images don't include conda. This change was made to improve size, performance, and vulnerability management. The existing container image names now point to container images that don't include conda (for example: gcr.io/deeplearning-platform-release/base-cpu.py310).
• Container images that include conda will be available until at least September 30, 2025. These container images now have -conda appended to the name (for example: gcr.io/deeplearning-platform-release/base-cpu-conda.py310).
• All TensorFlow container images still include conda, but M128 container image names have -conda appended. Specifying container images without -conda appended references older container images, which also include conda.

M127 release

• The following framework versions have reached their end of patch and support dates:

  • Tensorflow versions 2.15 and earlier
  • PyTorch versions 2.1 and earlier
  • Base versions with CUDA 12.1 and earlier

  To view the end of patch and support dates, see Supported framework versions. Framework versions remain available for use until their end of availability date, but recent versions are strongly recommended.

M126 release

• Base CUDA 12.3 container images are now available.
• Base CUDA 12.4 container images are now available.
• PyTorch 2.4.0 with CUDA 12.4 and Python 3.10 container images are now available.
• Upgraded R from 4.4.1 to 4.4.2 for R container images.

M125 release

• TensorFlow 2.17 container images are now available.

M124 release

• Pytorch 2.3.0 with CUDA 12.1 and Python 3.10 container images are now available.

M123 release

• Hugging Face Text Generation Inference 2.1 GPU container images are now available.

M122 release

• TensorFlow 2.16 container images are now available.
• PyTorch Inference 2.2 GPU container images are now available.
• PyTorch Inference 2.2 CPU container images are now available.

M121 release

• Updated the R CPU container image from R 4.3 to R 4.4. The R 4.3 container image is deprecated. There will be no further updates to this image in future releases.

M120 release

• Upgraded TensorFlow 2.15 container images to TensorFlow 2.15.1.
• Added CUDA-specific release tags for all TensorFlow and PyTorch container images, for example, us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-cu121.2-15.

M119 release

• Fixed an issue wherein Dataproc extensions caused JupyterLab to crash when remote kernels weren't available.

M118 release

• PyTorch 2.1.0 with CUDA 12.1 and Python 3.10 container images are now available.
• PyTorch 2.2.0 with CUDA 12.1 and Python 3.10 container images are now available.

M117 release

• Fixed an issue wherein the latest container had a deprecation-public-image tag. In this release and future releases, this tag will only be on the deprecated containers.
• Fixed a problem wherein the user couldn't access the vulnerabilities result of each container.

M115 release

• TensorFlow 2.15 with CUDA 12.1 and Python 3.10 container images are now available.
• TensorFlow 2.14 with CUDA 11.8 and Python 3.10 container images are now available.

M114 release

• Starting with this release, Python 3.7 is no longer available.
• Upgraded R to 4.3 on Python 3.10 containers.
• Fixed an issue where the PySpark-BigQuery connector didn't work properly on Python 3.10 PySpark container.

M113 release

• Miscellaneous bug fixes and improvements in Python 3.10 container images.

M112 release

• Miscellaneous bug fixes and improvements.

M111 release

• PyTorch 2.0 container images now include PyTorch XLA 2.0.
• Miscellaneous software updates.

M110 release

• Added support for TensorFlow 2.13 with Python 3.10 on Debian 11.
• Added support for TensorFlow 2.8 with Python 3.10 on Debian 11.
• Miscellaneous software updates.

Deprecated

TensorFlow 2.9 container images are deprecated.

M109 release

• PyTorch 2.0 with Python 3.10 and CUDA 11.8 container images are now available.
• Miscellaneous software updates.

M108 update

This update of the M108 release includes the following:

• The following Deep Learning Containers images are now available:
  • Tensorflow 2.12 CPU with CUDA 11.8 and Python 3.10 (us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-cpu.2-12.py310:latest)
  • Tensorflow 2.12 GPU with CUDA 11.8 and Python 3.10 (us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-gpu.2-12.py310:latest)

M108 release

• Miscellaneous software updates.

M107 release

• Miscellaneous software updates.

M106 release

• Miscellaneous software updates.

M105 release

• The following Deep Learning Containers images are now available with Python 3.10 on Debian 11:

  • TensorFlow 2.11 CPU (us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-cpu.2-11.py310:latest)
  • TensorFlow 2.11 GPU with Cuda 11.3 (us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-gpu.2-11.py310:latest)
  • PyTorch 1.13 with Cuda 11.3 (us-docker.pkg.dev/deeplearning-platform-release/gcr.io/pytorch-gpu.1-13.py310:latest)
  • Base CPU (us-docker.pkg.dev/deeplearning-platform-release/gcr.io/base-cpu.py310:latest)
  • Base GPU with Cuda 11.3 (us-docker.pkg.dev/deeplearning-platform-release/gcr.io/base-cu113.py310:latest)

• The following Deep Learning Containers images are now available with Python 3.9 on Debian 11:

  • TensorFlow 2.6 CPU (us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-cpu.2-6.py39:latest)
  • TensorFlow 2.6 GPU with Cuda 11.3 (us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-gpu.2-6.py39:latest)

• Miscellaneous bug fixes and improvements.

M104 release

• Added the following packages:
  • google-cloud-artifact-registry
  • google-cloud-bigquery-storage
  • google-cloud-language
  • keyring
  • keyrings.google-artifactregistry-auth
• Fixed a bug in which curl could not find the right SSL certificate path by default.

Change

TensorFlow Enterprise 2.1 has reached the end of its support period. See Version details.

M103 release

• Upgraded PyTorch to 1.13.1.
• Minor bug fixes and improvements.

M102 release

• TensorFlow 2.11 is now available.
• PyTorch 1.13 is now available.
• Regular security patches and package upgrades.

M101 release

• TensorFlow patch version upgrades:
  • From 2.8.3 to 2.8.4.
  • From 2.9.2 to 2.9.3.
  • From 2.10.0 to 2.10.1.
• TensorFlow 1.15 Deep Learning Containers images are now deprecated.
• Regular security patches and package upgrades.

M100 release

• Regular package updates.

M99 release

• Fixed a bug where Jupyter widgets through ipywidgets were causing errors and not displaying.
• Regular package updates.