gcloud beta ai tensorboards create

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 namemy 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 theproject attribute:

  • provide the argument--region on the command line with a fullyspecified name;
  • set the propertyai/region with a fully specified name;
  • choose one from the prompted list of available regions with a fully specifiedname;
  • provide the argument--project on the command line;
  • set the propertycore/project.
--region=REGION
ID of the region or fully qualified identifier for the region.

To set theregion attribute:

  • provide the argument--region on the command line;
  • set the propertyai/region;
  • choose one from the prompted list of available regions.
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 thekms-key attribute:

  • provide the argument--kms-key on the command line.

This flag argument must be specified if any of the other arguments in this groupare specified.

--kms-keyring=KMS_KEYRING
The KMS keyring of the key.

To set thekms-keyring attribute:

  • provide the argument--kms-key on the command line with a fullyspecified name;
  • provide the argument--kms-keyring on the command line.
--kms-location=KMS_LOCATION
The Google Cloud location for the key.

To set thekms-location attribute:

  • provide the argument--kms-key on the command line with a fullyspecified name;
  • provide the argument--kms-location on the command line.
--kms-project=KMS_PROJECT
The Google Cloud project for the key.

To set thekms-project attribute:

  • provide the argument--kms-key on the command line with a fullyspecified name;
  • provide the argument--kms-project on the command line;
  • set the propertycore/project.
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 help for details.

NOTES
This command is currently in beta and might change without notice. Thesevariants are also available:
gcloudaitensorboardscreate
gcloudalphaaitensorboardscreate

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Last updated 2025-09-16 UTC.