Release notes

This page documents production updates to AI Platform. You can periodically check this page for announcements about new or updated features, bug fixes, known issues, and deprecated functionality.

You can see the latest product updates for all of Google Cloud on the Google Cloud page, or browse and filter all release notes in the Google Cloud Console.

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May 03, 2021

April 27, 2021

Vizier is now available in preview. Vizier is a feature of AI Platform (Unified) that you can use to perform black-box optimization. You can use Vizier to tune hyperparameters or optimize any evaluable system.

April 15, 2021

The Python client library for AI Platform (Unified) is now called the AI Platform (Unified) SDK. With the release of version 0.7 (Preview), the AI Platform (Unified) SDK provides two levels of support. The high-level aiplatform library is designed to simplify common data science workflows by using wrapper classes and opinionated defaults. The lower-level aiplatform.gapic library remains available for those times when you need more flexibility or control. Learn more.

March 31, 2021

AI Platform (Unified) is now available in General Availability (GA).

AI Platform (Unified) has added support for the following regions for custom model training, as well as batch and online prediction for custom-trained models:

  • us-west1 (Oregon)
  • us-east1 (South Carolina)
  • us-east4 (N. Virginia)
  • northamerica-northeast1 (Montreal)
  • europe-west2 (London)
  • europe-west1 (Belgium)
  • asia-southeast1 (Singapore)
  • asia-northeast1 (Tokyo)
  • australia-southeast1 (Sydney)
  • asia-northeast3 (Seoul)

March 15, 2021

March 02, 2021

CMEK compliance using the client libraries

You can now use the client libraries to create resources with a customer-managed encryption key (CMEK).

For more information on creating a resource with an encryption key using the client libraries, see Using customer-managed encryption keys (CMEK).

March 01, 2021

The client library for Java now includes enhancements to improve usage of training and prediction features. The client library includes additional types and utility functions for sending training requests, sending prediction requests, and reading prediction results.

To use these enhancements, you must install the latest version of the client library.

February 25, 2021

AI Platform (Unified) now supports Access Transparency in beta. Google Cloud organizations with certain support packages can use this feature. Learn more about using Access Transparency with AI Platform (Unified).

The client libraries for Node.js and Python now include enhancements to improve usage of training and prediction features. These client libraries include additional types and utility functions for sending training requests, sending prediction requests, and reading prediction results.

To use these enhancements, you must install the latest version of the client libraries.

The predict and explain method calls no longer require the use of a different service endpoint (for example, https://us-central1-prediction-aiplatform.googleapis.com). These methods are now available on the same endpoint as all other methods.

In addition to Docker images hosted on Container Registry, you can now use Docker images hosted on Artifact Registry and Docker Hub for custom container training on AI Platform.

The Docker images for pre-built training containers and pre-built prediction containers are now available on Artifact Registry.

February 01, 2021

January 19, 2021

Preview: Select AI Platform (Unified) resources can now be configured to use Customer-managed encryption keys (CMEK).

Currently you can only create resources with a CMEK key in the UI; this functionality is not currently available using the client libraries.

January 11, 2021

The default boot disk type for virtual machine instances used for custom training has changed from pd-standard to pd-ssd. Learn more about disk types for custom training and read about pricing for different disk types.

If you previously used the default disk type for custom training and want to continue training with the same disk type, make sure to explicitly specify the pd-standard boot disk type when you perform custom training.

January 06, 2021

December 17, 2020

AI Platform (Unified) now stores and processes your data only in the region you specify for most features. Learn more.

November 16, 2020

Preview release

AI Platform (Unified) is now available in Preview.

For more information, see the product documentation.