NAME
    gcloud ai tensorboards create - create a new Vertex AI Tensorboard

SYNOPSIS
    gcloud 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
    Create a new Vertex AI Tensorboard.

EXAMPLES
    To create a Tensorboard with the display name my tensorboard:

        $ gcloud ai tensorboards create --display-name="my tensorboard"

    You may also provide a description:

        $ gcloud ai tensorboards create --description="my description"

    You may also provide labels:

        $ gcloud ai tensorboards create --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, and numbers. Values must
        contain only hyphens (-), underscores (_), lowercase characters, and
        numbers.

     Region resource - Cloud region to create a Tensorboard. This represents a
     Cloud resource. (NOTE) Some attributes are not given arguments in this
     group but can be set in other ways. To set the project attribute:
      ◆ provide the argument --region on the command line with a fully
        specified name;
      ◆ set the property ai/region with a fully specified name;
      ◆ choose one from the prompted list of available regions with a fully
        specified name;
      ◆ provide the argument --project on the command line;
      ◆ set the property core/project.

       --region=REGION
          ID of the region or fully qualified identifier for the region. To set
          the region attribute:
          ▸ provide the argument --region on the command line;
          ▸ set the property ai/region;
          ▸ choose one from the prompted list of available regions.

     Key resource - The Cloud KMS (Key Management Service) cryptokey that will
     be used to protect the tensorboard. The 'Vertex AI Service Agent' service
     account must hold permission 'Cloud KMS CryptoKey Encrypter/Decrypter'.
     The arguments in this 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-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 group are specified.

       --kms-keyring=KMS_KEYRING
          The KMS keyring of the key. To set the kms-keyring attribute:
          ▸ provide the argument --kms-key on the command line with a fully
            specified name;
          ▸ provide the argument --kms-keyring on the command line.

       --kms-location=KMS_LOCATION
          The Google Cloud location for the key. To set the kms-location
          attribute:
          ▸ provide the argument --kms-key on the command line with a fully
            specified name;
          ▸ provide the argument --kms-location on the command line.

       --kms-project=KMS_PROJECT
          The Google Cloud project for the key. To set the kms-project
          attribute:
          ▸ provide the argument --kms-key on the command line with a fully
            specified name;
          ▸ provide the argument --kms-project on the command line;
          ▸ set the property core/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
    These variants are also available:

        $ gcloud alpha ai tensorboards create

        $ gcloud beta ai tensorboards create