Runtime version list

AI Platform Training uses container 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. For more information, see Managing runtime versions.

Supported AI Platform Training runtime versions

The following versions are supported in AI Platform Training:

Version Package Released On Last Updated End of availability
2.11 TensorFlow 2.11.x (latest patch)
scikit-learn 1.0.2
XGBoost 1.6.1

GPUs are supported for online prediction in this runtime version. This runtime version also supports TPUs for training.

Runtime version 2.11 does not support batch prediction.

Python 3.7 is the only version of Python available for online prediction with runtime version 2.11. You cannot use Python 2 with runtime version 2.11.

 January 23, 2023 January 23, 2023

Starting on January 23, 2024, you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On January 23, 2025, AI Platform Prediction deletes all your model versions that use this runtime version.
2.9 TensorFlow 2.9.x (latest patch)
scikit-learn 1.0.2
XGBoost 1.6.1

GPUs are supported for online prediction in this runtime version. This runtime version also supports TPUs for training.

Runtime version 2.9 does not support batch prediction.

Python 3.7 is the only version of Python available for online prediction with runtime version 2.9. You cannot use Python 2 with runtime version 2.9.

 October 26, 2022 October 26, 2022

Starting on October 26, 2023, you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On October 26, 2024, AI Platform Prediction deletes all your model versions that use this runtime version.
2.8 TensorFlow 2.8.x (latest patch)
scikit-learn 1.0.2
XGBoost 1.5.2

GPUs are supported for online prediction in this runtime version. This runtime version also supports TPUs for training.

Runtime version 2.8 does not support batch prediction.

Python 3.7 is the only version of Python available for online prediction with runtime version 2.8. You cannot use Python 2 with runtime version 2.8.

 February 15, 2022 February 15, 2022

Starting on March 16, 2023, you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On March 16, 2024, AI Platform Prediction deletes all your model versions that use this runtime version.
2.7 TensorFlow 2.7.x (latest patch)
scikit-learn 1.0.1
XGBoost 1.5.0

GPUs are supported for online prediction in this runtime version. This runtime version also supports TPUs for training.

Runtime version 2.7 does not support batch prediction.

Python 3.7 is the only version of Python available for online prediction with runtime version 2.7. You cannot use Python 2 with runtime version 2.7.

 December 8, 2021 December 8, 2021

Starting on December 8, 2022, you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On December 8, 2023, AI Platform Prediction deletes all your model versions that use this runtime version.
2.6 TensorFlow 2.6.x (latest patch)
scikit-learn 0.24.2
XGBoost 1.4.2

GPUs are supported for online prediction in this runtime version. This runtime version also supports TPUs for training.

Runtime version 2.6 does not support batch prediction.

Python 3.7 is the only version of Python available for online prediction with runtime version 2.6. You cannot use Python 2 with runtime version 2.6.

 October 6, 2021 October 6, 2021

Starting on October 6, 2022, you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On October 6, 2023, AI Platform Prediction deletes all your model versions that use this runtime version.
2.5 TensorFlow 2.5.x (latest patch)
scikit-learn 0.24.2
XGBoost 1.4.0

GPUs are supported for training and online prediction in this runtime version. This runtime version also supports TPUs for training.

Runtime version 2.5 does not support batch prediction.

Python 3.7 is the only version of Python available for online prediction with runtime version 2.5. You cannot use Python 2 with runtime version 2.5.

 August 13, 2021 August 13, 2021

Starting on August 13, 2022, you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On August 13, 2023, AI Platform Prediction deletes all your model versions that use this runtime version.
2.4 TensorFlow 2.4.x (latest patch)
scikit-learn 0.24.0
XGBoost 1.3.1

GPUs are supported for training and online prediction in this runtime version. This runtime version also supports TPUs for training.

Runtime version 2.4 does not support batch prediction.

Python 3.7 is the only version of Python available for training and online prediction with runtime version 2.4. You cannot use Python 2 with runtime version 2.4.

 February 10, 2021 February 10, 2021

Starting on April 16, 2022, you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On April 16, 2023, AI Platform Prediction deletes all your model versions that use this runtime version.
2.3 TensorFlow 2.3.x (latest patch)
scikit-learn 0.23.2
XGBoost 1.2.1

GPUs are supported for training and online prediction in this runtime version. This runtime version also supports TPUs for training.

Runtime version 2.3 does not support batch prediction.

Python 3.7 is the only version of Python available for training and online prediction with runtime version 2.3. You cannot use Python 2 with runtime version 2.3.

 December 9, 2020 December 9, 2020

Starting on December 9, 2021, you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On December 9, 2022, AI Platform Prediction deletes all your model versions that use this runtime version.
2.2 TensorFlow 2.2.x (latest patch)
scikit-learn 0.23.1
XGBoost 1.1.1

GPUs are supported for training and online prediction in this runtime version. This runtime version also supports TPUs for training.

Runtime version 2.2 does not support batch prediction.

Python 3.7 is the only version of Python available for training and online prediction with runtime version 2.2. You cannot use Python 2 with runtime version 2.2.

 August 28, 2020 August 28, 2020

Starting on August 28, 2021, you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On August 28, 2022, AI Platform Prediction deletes all your model versions that use this runtime version.
2.1 TensorFlow 2.1.0
scikit-learn 0.22.1
XGBoost 0.90

Runtime version 2.1 supports TensorFlow 2.1.0 for CPU and GPU. GPUs are supported for training and online prediction in this runtime version. This runtime version also supports TPUs for training.

Python 3.7 is the only version of Python available for training and online prediction with runtime version 2.1. You cannot use Python 2 with runtime version 2.1.

 March 9, 2020 March 9, 2020

Starting on March 9, 2021, you can no longer create training jobs that use this runtime version or model versions that use this runtime version. Batch Prediction will continue to be supported.

On January 31, 2023, AI Platform Prediction deletes all your model versions that use this runtime version.
1.15 TensorFlow 1.15.0
scikit-learn 0.20.4
XGBoost 0.82

Runtime version 1.15 supports TensorFlow 1.15.0 for CPU and GPU. GPUs are supported for training and online prediction in this runtime version. This runtime version also supports TPUs for training.

Python 3.7 is available for training and online prediction with runtime version 1.15. The Ubuntu packages for Python 3 (indicated in bold) are installed when running Python 3.

 December 19, 2019 December 19, 2019

Starting on September 30, 2022, you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On September 30, 2023, AI Platform Prediction deletes all your model versions that use this runtime version.
1.14 TensorFlow 1.14.0
scikit-learn 0.20.2
XGBoost 0.81

Runtime version 1.14 supports TensorFlow 1.14.0 for CPU and GPU. GPUs are supported for training and online prediction in this runtime version. This runtime version also supports TPUs for training.

Python 3.5 is available for training and online prediction with runtime version 1.14. The Ubuntu packages for Python 3 (indicated in bold) are installed when running Python 3.

 July 19, 2019 August 16, 2019

Starting on July 19, 2020, you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On July 19, 2021, AI Platform Prediction deletes all your model versions that use this runtime version.
1.13 TensorFlow 1.13.1
scikit-learn 0.20.2
XGBoost 0.81

Runtime version 1.13 supports TensorFlow 1.13.1 for CPU and GPU. GPUs are supported for training and online prediction in this runtime version. This runtime version also supports TPUs for training.

Python 3.5 is available for training and online prediction with runtime version 1.13. The Ubuntu packages for Python 3 (indicated in bold) are installed when running Python 3.

 March 6, 2019 August 16, 2019

Starting on July 19, 2020, you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On March 6, 2021, AI Platform Prediction deletes all your model versions that use this runtime version.
1.12 TensorFlow 1.12.3
scikit-learn 0.20.0
XGBoost 0.81

Runtime version 1.12 supports TensorFlow 1.12.3 for CPU and GPU. GPUs are supported for training and online prediction in this runtime version.

Python 3.5 is available for training and online prediction with runtime version 1.12. The Ubuntu packages for Python 3 (indicated in bold) are installed when running Python 3.

 December 19, 2018 July 19, 2019

Starting on July 19, 2020, you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On December 19, 2020, AI Platform Prediction deletes all your model versions that use this runtime version.
1.11 TensorFlow 1.11
scikit-learn 0.19.2
XGBoost 0.80

Runtime version 1.11 supports TensorFlow 1.11.0 for CPU and GPU. GPUs are supported for training and online prediction in this runtime version.

Python 3.5 is available for training and online prediction with runtime version 1.11. The Ubuntu packages for Python 3 (indicated in bold) are installed when running Python 3.

 December 19, 2018

Starting on July 19, 2020, you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On December 19, 2020, AI Platform Prediction deletes all your model versions that use this runtime version.
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 December 19, 2018

Starting on (date not set), you can no longer create training jobs, batch prediction jobs, or model versions that use this runtime version.

On August 31, 2020, AI Platform Prediction deletes all your model versions that use this runtime version.
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 December 19, 2018

Starting on March 16, 2020, you can no longer create training jobs that use this runtime version.

Starting on (date not set), you can no longer create batch prediction jobs or model versions that use this runtime version.

On June 27, 2020, AI Platform Prediction deletes all your model versions that use this runtime version.
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 December 19, 2018

Starting on March 16, 2020, you can no longer create training jobs that use this runtime version.

Starting on (date not set), you can no longer create batch prediction jobs or model versions that use this runtime version.

On May 8, 2020, AI Platform Prediction deletes all your model versions that use this runtime version.
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 December 19, 2018

Starting on March 16, 2020, you can no longer create training jobs that use this runtime version.

Starting on (date not set), you can no longer create batch prediction jobs or model versions that use this runtime version.

On April 26, 2020, AI Platform Prediction deletes all your model versions that use this runtime version.
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 December 19, 2018

Starting on March 16, 2020, you can no longer create training jobs that use this runtime version.

Starting on (date not set), you can no longer create batch prediction jobs or model versions that use this runtime version.

On April 13, 2020, AI Platform Prediction deletes all your model versions that use this runtime version.
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 December 19, 2018

Starting on March 16, 2020, you can no longer create training jobs that use this runtime version.

Starting on (date not set), you can no longer create batch prediction jobs or model versions that use this runtime version.

On April 13, 2020, AI Platform Prediction deletes all your model versions that use this runtime version.
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 AI Platform Training runtime version that provides support for scikit-learn and XGBoost is version 1.4.

 December 11, 2017 December 19, 2018

Starting on March 16, 2020, you can no longer create training jobs that use this runtime version.

Starting on (date not set), you can no longer create batch prediction jobs or model versions that use this runtime version.

On April 13, 2020, AI Platform Prediction deletes all your model versions that use this runtime version.
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

Starting on March 16, 2020, you can no longer create training jobs that use this runtime version.

Starting on (date not set), you can no longer create batch prediction jobs or model versions that use this runtime version.

On April 13, 2020, AI Platform Prediction deletes all your model versions that use this runtime version.

Policy for supporting older runtime versions

AI Platform Training and AI Platform Prediction support each runtime version for one year after its release date.

Support for each runtime version changes according to the following schedule:

  • Starting on the release date: You can create training jobs, batch prediction jobs, and model versions that use the runtime version.

  • Starting 12 months after the release date: You can no longer create training jobs, batch prediction jobs, or model versions that use the runtime version.

    Existing model versions that have been deployed to AI Platform Prediction continue to function.

  • Starting 24 months after the release date: AI Platform Prediction automatically deletes all model versions that use the runtime version.

A modified version of this policy is being applied retroactively, over several stages, to runtime versions 1.13 and earlier. Refer to this document for the current availability of each runtime version.

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

AI Platform Training runtime version(s) 1.15, 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, and 2.11 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.

Pre-built PyTorch Containers

In addition to runtime versions, AI Platform Training offers several pre-built PyTorch containers that you can use to train a PyTorch model. Learn about the available PyTorch containers and how to use them.

What's next

Next
Managing runtime versions