TensorFlow Enterprise provides a seamless, scalable and supported TensorFlow development experience across a variety of Google Cloud AI products. TensorFlow Enterprise provides users with a Google Cloud optimized distribution of TensorFlow with long-term version support.
TensorFlow Enterprise Distribution
The TensorFlow Enterprise distribution contains custom built TensorFlow binaries and related packages. Each version of the TensorFlow Enterprise distribution is anchored on a particular version of TensorFlow, and all packages included are available in open source.
The TensorFlow Enterprise is available to use in the following products:
- AI Platform Deep Learning VM Image
- AI Platform Deep Learning Containers
- AI Platform Notebooks
- AI Platform Training
Long Term Version Support
The TensorFlow Enterprise distribution, when used on Google Cloud, is supported with security updates and selected bug fixes for a period of three years. All users of TensorFlow receive one year of support for the last minor version in each major release. For example, TensorFlow 1.15 will continue to release security patches for a year from its release. In contrast, each version of the TensorFlow Enterprise distribution will be supported for a total of three years.
The TensorFlow Enterprise distribution is not a fork of TensorFlow. While it is available in Google Cloud products, patches and bug fixes included in the TensorFlow Enterprise distribution will be reflected in the mainline TensorFlow code repository.
Version release dates
|Version||Date of release|
|TensorFlow Enterprise 2.3||August 17, 2020|
|TensorFlow Enterprise 2.1||January 8, 2020|
|TensorFlow Enterprise 1.15||October 30, 2019|
What's included in TensorFlow Enterprise
The following packages are included in TensorFlow Enterprise. These packages are updated with non-API breaking changes as they become available and are fully tested.
- fairness-indicators included with TensorFlow 2.3
- many more
- Get started using TensorFlow Enterprise with AI Platform Notebooks.
- Get started using TensorFlow Enterprise with Deep Learning VM.
- Get started using TensorFlow Enterprise with Deep Learning Containers.