Runtime Version List

Cloud Machine Learning Engine uses images, based on runtime version designation, to configure cloud resources to service your training and prediction requests. This page lists the runtime versions and their constituent packages. You can learn more about how to manage and set runtime versions.

Supported Cloud ML Engine runtime versions

The following versions are supported in Cloud ML Engine:

Version Package Released On Last Updated
1.10 TensorFlow 1.10
scikit-learn 0.19.2
XGBoost 0.72.1

Runtime version 1.10 supports TensorFlow 1.10.0 for CPU and GPU (GPUs are not supported for online prediction).

Python 3.5 is available for training and online prediction with runtime version 1.10. The Ubuntu packages for Python 3 (indicated in bold) are installed when running Python 3.

August 31, 2018
1.9 TensorFlow 1.9
scikit-learn 0.19.1
XGBoost 0.72.1

Runtime version 1.9 supports TensorFlow 1.9.0 for CPU and GPU (GPUs are not supported for online prediction).

Python 3.5 is available for training and online prediction with runtime version 1.9. The Ubuntu packages for Python 3 (indicated in bold) are installed when running Python 3.

June 27, 2018
1.8 TensorFlow 1.8
scikit-learn 0.19.1
XGBoost 0.71

Runtime version 1.8 supports TensorFlow 1.8.0 for CPU and GPU (GPUs are not supported for online prediction).

Python 3.5 is available for training and online prediction with runtime version 1.8. The Ubuntu packages for Python 3 (indicated in bold) are installed when running Python 3.

The gcloud and google-cloud-logging packages have been replaced with the google-cloud package, which contains both of the removed packages.

May 8, 2018
1.7 TensorFlow 1.7
scikit-learn 0.19.1
XGBoost 0.7.post3

Runtime version 1.7 supports TensorFlow 1.7.0 for CPU and GPU.

Python 3.5 is available for training and online prediction with runtime version 1.7. The Ubuntu packages for Python 3 (indicated in bold) are installed when running Python 3.

April 26, 2018
1.6 TensorFlow 1.6
scikit-learn 0.19.1
XGBoost 0.7.post3

Runtime version 1.6 supports TensorFlow 1.6.0 for CPU and GPU.

Python 3.5 is available for training and online prediction with runtime version 1.6. The Ubuntu packages for Python 3 (indicated in bold) are installed when running Python 3.

March 20, 2018 April 5, 2018
1.5 TensorFlow 1.5
scikit-learn 0.19.1
XGBoost 0.7.post3

Runtime version 1.5 supports TensorFlow 1.5.0 for CPU and GPU.

Python 3.5 is available for training and online prediction with runtime version 1.5. The Ubuntu packages for Python 3 (indicated in bold) are installed when running Python 3.

March 13, 2018 April 5, 2018
1.4 TensorFlow 1.4.0 and 1.4.1
scikit-learn 0.18.1
XGBoost 0.6a2

Runtime version 1.4 uses TensorFlow 1.4.0 for online prediction, and 1.4.1 for batch prediction and training.

Python 3.5 is available for training and online prediction with runtime version 1.4. The Ubuntu packages for Python 3 (indicated in bold) are installed when running Python 3.

The earliest Cloud ML Engine runtime version that provides support for scikit-learn and XGBoost is version 1.4.

December 11, 2017 April 5, 2018
1.2 TensorFlow 1.2.0

Runtime version 1.2 uses an Ubuntu 16.04 OS base image instead of the Debian Jessie version used by 1.0.

June 27, 2017
1.0 TensorFlow 1.0.1

This is the default Cloud ML Engine runtime version currently supported by the v1 Cloud Machine Learning Engine API.

March 8, 2017

Support for older runtime versions

Older major and minor runtime versions are supported for a specific period of time after the new version is released. You can continue to train models and get predictions using an older runtime version during this period. Runtime versions are not supported beyond that window.

Months after runtime is superseded Can train models and serve predictions
0-12 Yes
12+ No

Support for GPUs

GPU-enabled machines come pre-installed with tensorflow-gpu, the Tensorflow Python package with GPU support.

Other machines come pre-installed with the regular tensorflow package instead.

Support for Cloud TPU (Beta)

Cloud ML Engine runtime version(s) 1.9 are available for training your models on Cloud TPU. See how to request Cloud TPU quota and how to use TPUs to train your model.

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Cloud ML Engine for TensorFlow