<?xml version="1.0" encoding="UTF-8"?>
<!-- AUTOGENERATED FILE. DO NOT EDIT. -->
<feed xmlns="http://www.w3.org/2005/Atom">
  <id>tag:google.com,2016:deeplearningvm-release-notes</id>
  <title>Deep Learning VM Images - Release notes</title>
  <link rel="self" href="https://docs.cloud.google.com/feeds/deeplearningvm-release-notes.xml"/>
  <author>
    <name>Google Cloud Platform</name>
  </author>
  <updated>2025-07-14T00:00:00-07:00</updated>

  <entry>
    <title>July 14, 2025</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#July_14_2025</id>
    <updated>2025-07-14T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#July_14_2025"/>
    <content type="html"><![CDATA[<h3>Breaking</h3>
<p>The following framework versions have reached their end of patch and support dates:</p>
<ul>
<li>Base versions with CUDA 12.4 and earlier</li>
<li>Tensorflow versions 2.17 and earlier</li>
<li>PyTorch versions 2.3 and earlier</li>
</ul>
<p>To view the end of patch and support dates, see <a href="https://docs.cloud.google.com/deep-learning-vm/docs/images#supported-frameworks">Supported framework versions</a>.</p>
<p>For more information on what the end of patch and support date means, see <a href="https://docs.cloud.google.com/deep-learning-vm/docs/framework-support-policy#support_policy_schedule">Support policy schedule</a>.</p>
<p>If you must use an image after deprecation against Google security recommendations and at your own risk, see <a href="https://docs.cloud.google.com/deep-learning-vm/docs/images#after-deprecation">After deprecation</a>.</p>
]]>
    </content>
  </entry>

  <entry>
    <title>April 16, 2025</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#April_16_2025</id>
    <updated>2025-04-16T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#April_16_2025"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M129 release</strong></p>
<ul>
<li>Updated the Dataproc JupyterLab plugin to version 0.1.85.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>March 12, 2025</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#March_12_2025</id>
    <updated>2025-03-12T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#March_12_2025"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M128 release</strong></p>
<ul>
<li>Except for TensorFlow images, new images don't include conda. This change was made to improve size, performance, and vulnerability management. The existing image names and image family names now point to images and image families that don't include conda (for example: the image name <code>common-cpu-v20250310-debian-11-py310</code> and corresponding image family name <code>common-cpu-debian-11-py310</code>).</li>
<li>Images that include conda will be available until at least September 30, 2025. These images now have <code>-conda</code> appended to the name (for example: the image name <code>common-cpu-v20250310-debian-11-py310-conda</code> and corresponding image family name <code>common-cpu-debian-11-py310-conda</code>).</li>
<li>All TensorFlow images and image families still include conda, but M128 image names and image family names have <code>-conda</code> appended. Specifying images or image families without <code>-conda</code> appended references older images, which also include conda.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>January 16, 2025</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#January_16_2025</id>
    <updated>2025-01-16T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#January_16_2025"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M127 release</strong></p>
<ul>
<li>Fixed an issue related to ownership of the home directory when using authorized ssh keys.</li>
</ul>
<h3>Breaking</h3>
<p>The following framework versions have reached their end of patch and support dates:</p>
<ul>
<li>Tensorflow versions 2.15 and earlier</li>
<li>PyTorch versions 2.1 and earlier</li>
<li>Base versions with CUDA 12.2 and earlier</li>
</ul>
<p>To view the end of patch and support dates, see <a href="https://docs.cloud.google.com/deep-learning-vm/docs/images#supported-frameworks">Supported framework versions</a>. To create a VM instance using an image family that has reached its end of patch and support date, you must specify an image from the image family when you create the VM instance. To list images from an image family name after its end of patch and support date, include the <code>--show-deprecated flag</code> in your <code>gcloud compute images list</code> command, or select <strong>Show deprecated images</strong> when creating an instance in the Google Cloud console.</p>
]]>
    </content>
  </entry>

  <entry>
    <title>November 20, 2024</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#November_20_2024</id>
    <updated>2024-11-20T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#November_20_2024"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M126 release</strong></p>
<ul>
<li>CUDA 12.4 VM images are now available.</li>
<li>PyTorch 2.4.0 with CUDA 12.4 and Python 3.10 VM images are now available.</li>
<li>Upgraded R from 4.4.1 to 4.4.2 for R VM images.</li>
</ul>
<h3>Breaking</h3>
<p>One or more framework versions have reached their end of patch and support dates. To view end of patch and support dates, see <a href="https://docs.cloud.google.com/deep-learning-vm/docs/images#supported-frameworks">Supported framework versions</a>. To create a VM instance using an image family that has reached its end of patch and support date, you must specify an image from the image family when you create the VM instance. To list images from an image family name after its end of patch and support date, include the <code>--show-deprecated</code> flag in your <code>gcloud compute images list</code> command, or select <strong>Show deprecated images</strong> when creating an instance in the Google Cloud console.</p>
]]>
    </content>
  </entry>

  <entry>
    <title>September 26, 2024</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#September_26_2024</id>
    <updated>2024-09-26T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#September_26_2024"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M125 release</strong></p>
<ul>
<li>TensorFlow 2.17 VM images are now available.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>August 20, 2024</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#August_20_2024</id>
    <updated>2024-08-20T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#August_20_2024"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M124 release</strong></p>
<ul>
<li>Pytorch 2.3.0 with CUDA 12.1 and Python 3.10 VM images are now available.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>July 16, 2024</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#July_16_2024</id>
    <updated>2024-07-16T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#July_16_2024"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M123 release</strong></p>
<ul>
<li>TensorFlow 2.16 images are now available.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>June 21, 2024</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#June_21_2024</id>
    <updated>2024-06-21T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#June_21_2024"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M122 release</strong> </p>
<ul>
<li>Updated Nvidia drivers to version 550.90.07 to fix vulnerabilities.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>May 17, 2024</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#May_17_2024</id>
    <updated>2024-05-17T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#May_17_2024"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M121 release</strong></p>
<ul>
<li>CUDA 12.2 images are now available.</li>
<li>Updated TensorFlow 2.15 images from CUDA 12.1 to CUDA 12.2.</li>
<li>Re-enabled <code>common-gpu</code> Deep Learning VM releases that were erroneously deactivated in M117.</li>
<li>Updated Nvidia drivers to 550.54.15 to fix an issue where Nvidia drivers failed to install on startup after Debian 11 images upgraded kernel to <code>linux-image-5.10.0-29-cloud-amd64</code>.</li>
<li>The <code>linux-headers-cloud-amd64</code> metapackage is now installed for faster driver recompiling on kernel upgrades.</li>
<li>TensorFlow 2.6 CPU and GPU images are deprecated. There will be no further updates to these images in future releases.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>April 25, 2024</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#April_25_2024</id>
    <updated>2024-04-25T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#April_25_2024"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M120 release</strong></p>
<ul>
<li>Upgraded TensorFlow 2.15 images to TensorFlow 2.15.1.</li>
<li>Added Ubuntu 22.04 support for CPU images, and for GPU images using CUDA 12.1 or higher.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>March 29, 2024</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#March_29_2024</id>
    <updated>2024-03-29T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#March_29_2024"/>
    <content type="html"><![CDATA[<h3>Fixed</h3>
<p><strong>M119 release</strong></p>
<ul>
<li>Fixed an issue wherein Dataproc extensions caused JupyterLab to crash when remote kernels weren't available.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>March 18, 2024</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#March_18_2024</id>
    <updated>2024-03-18T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#March_18_2024"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M118 release</strong></p>
<ul>
<li>Restored legacy gpu image families for TensorFlow 2.12 through 2.14, and for PyTorch 2.0.</li>
<li>PyTorch 2.1.0 with CUDA 12.1 and Python 3.10 VM images are now available.</li>
<li>PyTorch 2.2.0 with CUDA 12.1 and Python 3.10 VM images are now available.</li>
<li>R images (Experimental) updated to R 4.3.3.</li>
<li>Updated Nvidia drivers of older Deep Learning VM images to R535.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>February 28, 2024</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#February_28_2024</id>
    <updated>2024-02-28T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#February_28_2024"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M117 release</strong></p>
<ul>
<li>Added the CUDA version (CUDA 11.8) to the TensorFlow 2.12, 2.13, and 2.14 image names and image family names. For example, <code>tf-2-12-gpu</code> is renamed <code>tf-2-12-cu118</code>.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>February 08, 2024</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#February_08_2024</id>
    <updated>2024-02-08T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#February_08_2024"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M116 release</strong></p>
<ul>
<li>Added the CUDA version to the TensorFlow 2.15 image family name, for this release and future releases. For example, <code>tf-2-15-gpu</code> is renamed to <code>tf-2-15-cu121</code>.</li>
<li>Deprecated the <code>tf-2-15-gpu</code> image family in favor of <code>tf-2-15-cu121</code>.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>January 19, 2024</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#January_19_2024</id>
    <updated>2024-01-19T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#January_19_2024"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M115 release</strong></p>
<ul>
<li>TensorFlow 2.15 with CUDA 12.1 and Python 3.10 images are now available.</li>
<li>TensorFlow 2.14 with CUDA 11.8 and Python 3.10 images are now available.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>December 14, 2023</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#December_14_2023</id>
    <updated>2023-12-14T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#December_14_2023"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M114 release</strong></p>
<ul>
<li>Starting with this release, Debian 10 Python 3.7 images are no longer available.</li>
<li>Upgraded R to 4.3 on Debian 11 Python 3.10 images.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>November 16, 2023</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#November_16_2023</id>
    <updated>2023-11-16T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#November_16_2023"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M113 release</strong></p>
<ul>
<li>Miscellaneous bug fixes and improvements in Python 3.10 images.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>October 10, 2023</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#October_10_2023</id>
    <updated>2023-10-10T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#October_10_2023"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M112 release</strong></p>
<ul>
<li>CUDA 12.1 VM images are available with the following image names:</li>
<ul>
<li><code>common-cu121-debian-11-py310</code></li>
<li><code>common-cu121-ubuntu-2004-py310</code></li>
</ul>
<li>Miscellaneous bug fixes and improvements.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>September 14, 2023</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#September_14_2023</id>
    <updated>2023-09-14T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#September_14_2023"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M111 release</strong></p>
<ul>
<li>PyTorch 2.0 images now include PyTorch XLA 2.0.</li>
<li>Miscellaneous software updates.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>August 10, 2023</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#August_10_2023</id>
    <updated>2023-08-10T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#August_10_2023"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M110 release</strong></p>
<ul>
<li>Added support for TensorFlow 2.13 with Python 3.10 on Debian 11.</li>
<li>Added support for TensorFlow 2.8 with Python 3.10 on Debian 11.</li>
<li>Miscellaneous software updates.</li>
</ul>
<h3>Deprecated</h3>
<p>TensorFlow 2.9 images are deprecated.</p>
]]>
    </content>
  </entry>

  <entry>
    <title>June 26, 2023</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#June_26_2023</id>
    <updated>2023-06-26T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#June_26_2023"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M109 release</strong></p>
<ul>
<li>PyTorch 2.0 on Debian 11 with Python 3.10 and CUDA 11.8 images are now available.</li>
<li>GPU-based Deep Learning VM Images now installs Nvidia drivers with the new <a href="https://github.com/NVIDIA/open-gpu-kernel-modules">open kernel modules</a> if started on an A2 or G2 machine instead of the proprietary kernel modules.</li>
<li>Miscellaneous software updates.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>May 09, 2023</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#May_09_2023</id>
    <updated>2023-05-09T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#May_09_2023"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M108 update</strong></p>
<p>This update of the M108 release includes the following:</p>
<ul>
<li>The following Deep Learning VM images are now available:
<ul>
<li>Tensorflow 2.12 CPU with CUDA 11.8 and Python 3.10 (<code>tf-2-12-cpu-debian-11-py310</code>)</li>
<li>Tensorflow 2.12 GPU with CUDA 11.8 and Python 3.10 (<code>tf-2-12-gpu-debian-11-py310</code>)</li>
</ul></li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>May 04, 2023</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#May_04_2023</id>
    <updated>2023-05-04T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#May_04_2023"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M108 release</strong></p>
<ul>
<li>The image name <code>common-container-experimental</code> was changed to <code>common-container</code>. The related image family name wasn't changed.  </li>
<li>Miscellaneous software updates.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>April 13, 2023</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#April_13_2023</id>
    <updated>2023-04-13T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#April_13_2023"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M107 release</strong></p>
<ul>
<li>Miscellaneous software updates.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>April 06, 2023</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#April_06_2023</id>
    <updated>2023-04-06T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#April_06_2023"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M106 release</strong></p>
<ul>
<li>Rolled back a previous change in which Jupyter dependencies were located in a separate Conda environment.</li>
<li>Miscellaneous software updates.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>March 31, 2023</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#March_31_2023</id>
    <updated>2023-03-31T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#March_31_2023"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M105 release</strong></p>
<ul>
<li><p>The following Deep Learning VM images are now available with Python 3.10 on Debian 11:</p>
<ul>
<li>TensorFlow 2.11 CPU (<code>tf-2-11-cpu-debian-11-py310</code>)</li>
<li>TensorFlow 2.11 GPU with Cuda 11.3 (<code>tf-2-11-cu113-debian-11-py310</code>)</li>
<li>PyTorch 1.13 with Cuda 11.3 (<code>pytorch-1-13-cu113-debian-11-py310</code>)</li>
<li>Base CPU (<code>common-cpu-debian-11-py310</code>)</li>
<li>Base GPU with Cuda 11.3 (<code>common-cu113-debian-11-py310</code>)</li>
</ul></li>
<li><p>The following Deep Learning VM images are now available with Python 3.9 on Debian 11:</p>
<ul>
<li>TensorFlow 2.6 CPU (<code>tf-2-6-cpu-debian-11-py39</code>)</li>
<li>TensorFlow 2.6 GPU with Cuda 11.3 (<code>tf-2-6-cu113-debian-11-py39</code>)</li>
</ul></li>
<li><p>Jupyter-related libraries have been moved to a different Conda environment, separate from the one containing machine learning frameworks and base software libraries.</p></li>
<li><p>Miscellaneous bug fixes and improvements.</p></li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>March 16, 2023</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#March_16_2023</id>
    <updated>2023-03-16T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#March_16_2023"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M104 release</strong></p>
<ul>
<li>Added the following packages:
<ul>
<li>google-cloud-artifact-registry</li>
<li>google-cloud-bigquery-storage</li>
<li>google-cloud-language</li>
<li>keyring</li>
<li>keyrings.google-artifactregistry-auth</li>
</ul></li>
<li>Fixed a bug in which curl could not find the right SSL certificate path by default.</li>
</ul>
<h3>Breaking</h3>
<p>TensorFlow Enterprise 2.1 has reached the end of its support period. See <a href="https://docs.cloud.google.com/tensorflow-enterprise/docs/overview#version_details">Version details</a>.</p>
]]>
    </content>
  </entry>

  <entry>
    <title>January 30, 2023</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#January_30_2023</id>
    <updated>2023-01-30T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#January_30_2023"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M103 release</strong></p>
<ul>
<li>Upgraded PyTorch to 1.13.1.</li>
<li>Minor bug fixes and improvements.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>December 15, 2022</title>
    <id>tag:google.com,2016:deeplearningvm-release-notes#December_15_2022</id>
    <updated>2022-12-15T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/deep-learning-vm/docs/release-notes#December_15_2022"/>
    <content type="html"><![CDATA[<h3>Feature</h3>
<p><strong>M102 release</strong></p>
<ul>
<li>TensorFlow 2.11 is now available.</li>
<li>PyTorch 1.13 is now available.</li>
<li>Added support for <a href="https://jupyterlab-lsp.readthedocs.io/en/latest/">Jupyter[Lab] Language Server Protocol</a>.</li>
<li>Regular security patches and package upgrades.</li>
</ul>
]]>
    </content>
  </entry>

</feed>
