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:

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

You may also provide a description:

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

You may also provide labels:

$ gcloud beta 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 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 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

This command is currently in beta and might change without notice. These variants are also available:

$ gcloud ai tensorboards create

$ gcloud alpha ai tensorboards create