gcloud beta ai tensorboards create Stay organized with collections Save and categorize content based on your preferences.
- NAME
- gcloud beta ai tensorboards create - create a new Vertex AI Tensorboard
- SYNOPSIS
gcloud beta ai tensorboards create--display-name=DISPLAY_NAME[--description=DESCRIPTION][--labels=[KEY=VALUE,…]][--region=REGION][--kms-key=KMS_KEY:--kms-keyring=KMS_KEYRING--kms-location=KMS_LOCATION--kms-project=KMS_PROJECT][GCLOUD_WIDE_FLAG …]
- DESCRIPTION
(BETA)Create a new Vertex AI Tensorboard.- EXAMPLES
- To create a Tensorboard with the display name
my tensorboard:gcloudbetaaitensorboardscreate--display-name="my tensorboard"You may also provide a description:
gcloudbetaaitensorboardscreate--description="my description"You may also provide labels:
gcloudbetaaitensorboardscreate--labels="label1=value1"--labels="label2=value2" - REQUIRED FLAGS
--display-name=DISPLAY_NAME- Display name of the tensorboard.
- OPTIONAL FLAGS
--description=DESCRIPTION- Description of the tensorboard.
--labels=[KEY=VALUE,…]- List of label KEY=VALUE pairs to add.
Keys must start with a lowercase character and contain only hyphens(
-), underscores (_), lowercase characters, andnumbers. Values must contain only hyphens (-), underscores(_), lowercase characters, and numbers. - Region resource - Cloud region to create a Tensorboard. This represents a Cloudresource. (NOTE) Some attributes are not given arguments in this group but canbe set in other ways.
To set the
projectattribute:- provide the argument
--regionon the command line with a fullyspecified name; - set the property
ai/regionwith a fully specified name; - choose one from the prompted list of available regions with a fully specifiedname;
- provide the argument
--projecton the command line; - set the property
core/project.
--region=REGION- ID of the region or fully qualified identifier for the region.
To set the
regionattribute:- provide the argument
--regionon the command line; - set the property
ai/region; - choose one from the prompted list of available regions.
- provide the argument
- provide the argument
- Key resource - The Cloud KMS (Key Management Service) cryptokey that will beused to protect the tensorboard. The 'Vertex AI Service Agent' service accountmust hold permission 'Cloud KMS CryptoKey Encrypter/Decrypter'. The arguments inthis group can be used to specify the attributes of this resource.
--kms-key=KMS_KEY- ID of the key or fully qualified identifier for the key.
To set the
kms-keyattribute:- provide the argument
--kms-keyon the command line.
This flag argument must be specified if any of the other arguments in this groupare specified.
- provide the argument
--kms-keyring=KMS_KEYRING- The KMS keyring of the key.
To set the
kms-keyringattribute:- provide the argument
--kms-keyon the command line with a fullyspecified name; - provide the argument
--kms-keyringon the command line.
- provide the argument
--kms-location=KMS_LOCATION- The Google Cloud location for the key.
To set the
kms-locationattribute:- provide the argument
--kms-keyon the command line with a fullyspecified name; - provide the argument
--kms-locationon the command line.
- provide the argument
--kms-project=KMS_PROJECT- The Google Cloud project for the key.
To set the
kms-projectattribute:- provide the argument
--kms-keyon the command line with a fullyspecified name; - provide the argument
--kms-projecton the command line; - set the property
core/project.
- provide the argument
- GCLOUD WIDE FLAGS
- These flags are available to all commands:
--access-token-file,--account,--billing-project,--configuration,--flags-file,--flatten,--format,--help,--impersonate-service-account,--log-http,--project,--quiet,--trace-token,--user-output-enabled,--verbosity.Run
$gcloud helpfor details. - NOTES
- This command is currently in beta and might change without notice. Thesevariants are also available:
gcloudaitensorboardscreategcloudalphaaitensorboardscreate
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Last updated 2025-09-16 UTC.