reate a S3 bucket, refer to the AWS documentation.With the URI to your S3 bucket known, registering an S3 Artifact Store can be done as follows:

# Register the S3 artifact-store

zenml artifact-store register cloud_artifact_store -f s3 --path=s3://bucket-name

For more information, read the dedicated S3 artifact store flavor guide.

You will need to install and set up the Google Cloud CLI on your machine as a prerequisite, as covered in the Google Cloud documentation , before you register the GCS Artifact Store.

The Google Cloud Storage Artifact Store flavor is provided by the GCP ZenML integration, you need to install it on your local machine to be able to register a GCS Artifact Store and add it to your stack:

zenml integration install gcp -y

Having trouble with this command? You can use poetry or pip to install the requirements of any ZenML integration directly. In order to obtain the exact requirements of the GCP integrations you can use zenml integration requirements gcp.

The only configuration parameter mandatory for registering a GCS Artifact Store is the root path URI, which needs to point to a GCS bucket and take the form gs://bucket-name. Please read the Google Cloud Storage documentation on how to provision a GCS bucket.

With the URI to your GCS bucket known, registering a GCS Artifact Store can be done as follows:

# Register the GCS artifact store

zenml artifact-store register cloud_artifact_store -f gcp --path=gs://bucket-name

For more information, read the dedicated GCS artifact store flavor guide.

You will need to install and set up the Azure CLI on your machine as a prerequisite, as covered in the Azure documentation, before you register the Azure Artifact Store.

The Microsoft Azure Artifact Store flavor is provided by the Azure ZenML integration, you need to install it on your local machine to be able to register an Azure Artifact Store and add it to your stack:

zenml integration install azure -y