gcloud alpha ai tensorboards create

NAME
gcloud alpha ai tensorboards create - create a new Vertex AI Tensorboard
SYNOPSIS
gcloud alpha 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
(ALPHA) Create a new Vertex AI Tensorboard.
EXAMPLES
To create a Tensorboard with the display name my tensorboard: 
gcloud alpha ai tensorboards create --display-name="my tensorboard"

You may also provide a description: 

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

You may also provide labels: 

gcloud alpha 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
This command is currently in alpha and might change without notice. If this command fails with API permission errors despite specifying the correct project, you might be trying to access an API with an invitation-only early access allowlist. These variants are also available: 
gcloud ai tensorboards create

gcloud beta ai tensorboards create