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The Vertex AI TensorBoard web app provides a visualization of
logs associated with a Vertex AI TensorBoard experiment.
This web application offers several tools and dashboards to visualize and
compare data across experiment runs, and to
profile model training performance.
To learn more about each dashboard, see the
README
for "The Visualization".
Access a Vertex AI TensorBoard web app
The Vertex AI TensorBoard web app is accessed using the
following address format:
Visualize Vertex AI TensorBoard metrics in the Google Cloud console
If your TensorBoard instance is associated with a
Vertex AI Experiments, which is automatic when using a
default TensorBoard instance, certain
metrics can be visualized directly in the Google Cloud console, without using
the web application.
The Compare and analyze runs
document describes how to view details of your experiment runs and compare
the experiment runs to each other in the Google Cloud console.
TensorBoard timeseries metrics appear under the Charts tab in the navigation
bar of the Vertex AI Experiments console.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-25 UTC."],[],[],null,["# View Vertex AI TensorBoard data\n\nThe Vertex AI TensorBoard web app provides a visualization of\nlogs associated with a Vertex AI TensorBoard experiment.\nThis web application offers several tools and dashboards to visualize and\ncompare data across experiment runs, and to\n[profile model training performance](/vertex-ai/docs/training/tensorboard-profiler).\n\nTo learn more about each dashboard, see the\n[README](https://github.com/tensorflow/tensorboard/blob/master/README.md#the-visualizations)\nfor \"The Visualization\".\n\nAccess a Vertex AI TensorBoard web app\n--------------------------------------\n\nThe Vertex AI TensorBoard web app is accessed using the\nfollowing address format:\n\n`https://`\u003cvar translate=\"no\"\u003eREGION\u003c/var\u003e`.tensorboard.googleusercontent.com/experiment/projects+`\u003cvar translate=\"no\"\u003ePROJECT_NAME_OR_ID\u003c/var\u003e`+locations+`\u003cvar translate=\"no\"\u003eREGION\u003c/var\u003e`+tensorboards+`\u003cvar translate=\"no\"\u003eTENSORBOARD_ID\u003c/var\u003e`+experiments+`\u003cvar translate=\"no\"\u003eEXPERIMENT_NAME\u003c/var\u003e\n\n- \u003cvar translate=\"no\"\u003eREGION\u003c/var\u003e: the region your TensorBoard is located in\n- \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e: the project your TensorBoard was created in\n- \u003cvar translate=\"no\"\u003eTENSORBOARD_ID\u003c/var\u003e: the [TensorBoard ID](/vertex-ai/docs/experiments/tensorboard-setup#tensorboard_id)\n- \u003cvar translate=\"no\"\u003eEXPERIMENT_NAME\u003c/var\u003e: the name of the TensorBoard experiment\n\nThis link can be shared and used by anyone who has permission.\n\nYou can navigate here directly by inserting the appropriate values,\nor by following a link available in the following ways.\n\n### gcloud CLI and Vertex AI SDK for Python\n\nWhen creating or uploading logs to a Vertex AI TensorBoard, the\ngcloud CLI and SDK output a link to the Vertex AI TensorBoard\ninstance.\n\n### Google Cloud console\n\nYou can access the TensorBoard web app using the Google Cloud console. \n\n### Experiments\n\nIf your Vertex AI TensorBoard is associated with a Vertex AI\nExperiment, which is automatic when a\n[default instance](/vertex-ai/docs/experiments/tensorboard-setup#use_default_instance)\nis involved, you can access the TensorBoard web app directly from the Experiments page.\n\n### Custom training\n\nIf you used Vertex AI TensorBoard with\n[custom training](/vertex-ai/docs/experiments/tensorboard-training)\nyou can access the TensorBoard web app directly from the custom training job.\n\n1. In the Vertex AI section of the Google Cloud console, go to the **Training** page. [Go to Training](https://console.cloud.google.com/vertex-ai/training)\n2. Click **Custom Jobs** tab.\n3. Select your training job from the list of training runs. The details page appears\n4. Click the **Open TensorBoard** button. \n\n### Vertex AI Pipelines\n\nIf you used Vertex AI TensorBoard with [Vertex AI Pipelines](/vertex-ai/docs/experiments/tensorboard-with-pipelines), the TensorBoard web app can be accessed\ndirectly from the component information display.\n\n1. In the Vertex AI section of the Google Cloud console, go to the **Pipelines** page. [Go to Pipelines](https://console.cloud.google.com/vertex-ai/pipelines)\n2. From the pipelines tab, scroll or filter the pipeline list to find your pipeline.\n3. On the pipeline display select the component where TensorBoard metrics are captured, typically the training component.\n4. Select the **Open TensorBoard** button in the upper right. \n\nVisualize Vertex AI TensorBoard metrics in the Google Cloud console\n-------------------------------------------------------------------\n\nIf your TensorBoard instance is associated with a\nVertex AI Experiments, which is automatic when using a\n[default TensorBoard instance](/vertex-ai/docs/experiments/tensorboard-setup#use_default_instance), certain\nmetrics can be visualized directly in the Google Cloud console, without using\nthe web application.\n\nThe [Compare and analyze runs](/vertex-ai/docs/experiments/compare-analyze-runs#console-compare-analyze-runs)\ndocument describes how to view details of your experiment runs and compare\nthe experiment runs to each other in the Google Cloud console.\nTensorBoard timeseries metrics appear under the **Charts** tab in the navigation\nbar of the Vertex AI Experiments console."]]
