View Vertex AI TensorBoard data

The Vertex AI TensorBoard web app provides a visualization oflogs associated with a Vertex AI TensorBoard experiment.This web application offers several tools and dashboards to visualize andcompare data across experiment runs, and toprofile model training performance.

TensorBoard view appear

To learn more about each dashboard, see theREADMEfor "The Visualization".

Access a Vertex AI TensorBoard web app

The Vertex AI TensorBoard web app is accessed using thefollowing address format:

https://REGION.tensorboard.googleusercontent.com/experiment/projects+PROJECT_NAME_OR_ID+locations+REGION+tensorboards+TENSORBOARD_ID+experiments+EXPERIMENT_NAME

  • REGION: the region your TensorBoard is located in
  • PROJECT_ID: the project your TensorBoard was createdin
  • TENSORBOARD_ID: theTensorBoard ID
  • EXPERIMENT_NAME: the name of the TensorBoardexperiment

This link can be shared and used by anyone who has permission.

You can navigate here directly by inserting the appropriate values,or by following a link available in the following ways.

gcloud CLI and Vertex AI SDK for Python

When creating or uploading logs to a Vertex AI TensorBoard, thegcloud CLI and SDK output a link to the Vertex AI TensorBoardinstance.

Google Cloud console

You can access the TensorBoard web app using the Google Cloud console.

Experiments

If your Vertex AI TensorBoard is associated with a Vertex AI Experiment, which is automatic when adefault instance is involved, you can access the TensorBoard web app directly from the Experiments page.tensorboard view

Custom training

If you used Vertex AI TensorBoard withcustom training you can access the TensorBoard web app directly from the custom training job.

  1. In the Vertex AI section of the Google Cloud console, go to theTraining page.Go to Training
  2. ClickCustom Jobs tab.
  3. Select your training job from the list of training runs. The details page appears
  4. Click theOpen TensorBoard button.
    open tensorboard button

Vertex AI Pipelines

If you used Vertex AI TensorBoard withVertex AI Pipelines, the TensorBoard web app can be accessed directly from the component information display.

  1. In the Vertex AI section of the Google Cloud console, go to thePipelines page.Go to Pipelines
  2. From the pipelines tab, scroll or filter the pipeline list to find your pipeline.
  3. On the pipeline display select the component where TensorBoard metrics are captured, typically the training component.
  4. Select theOpen TensorBoard button in the upper right.
    tensorboard view for classification

Visualize Vertex AI TensorBoard metrics in the Google Cloud console

If your TensorBoard instance is associated with aVertex AI Experiments, which is automatic when using adefault TensorBoard instance, certainmetrics can be visualized directly in the Google Cloud console, without usingthe web application.

TheCompare and analyze runsdocument describes how to view details of your experiment runs and comparethe experiment runs to each other in the Google Cloud console.TensorBoard timeseries metrics appear under theCharts tab in the navigationbar of the Vertex AI Experiments console.

Vertex AI navigation bar with timeseries data charts

Except as otherwise noted, the content of this page is licensed under theCreative Commons Attribution 4.0 License, and code samples are licensed under theApache 2.0 License. For details, see theGoogle Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2026-02-18 UTC.