A PAI Workspace with Members, Because Without Them the Team Cannot See It

A PAI workspace and the people in it. Created with no members the workspace belongs to whoever ran the apply and the team seeing nothing reads as a permissions problem elsewhere. env_types is fixed at creation and decides whether a dev-to-prod pipeline is even possible, and the role names are the permission model, so each member names their own.

This is the operations reference: version drift, dependants and neighbours. For what the module provisions, its inputs and outputs, and how to buy it, see the catalogue entry.

Provider drift

This artifact declares no Terraform provider requirements, so there is nothing to drift. Provider freshness applies to Terraform and OpenTofu modules.

What depends on this

No reference architecture names this module, so changing it affects only configurations that reference it directly.

Nearest alternatives

Nothing else in the catalogue covers ai & ml on Alibaba Cloud. If this module is not the right shape, the closest options are on other clouds.

The same job on other clouds

Managed ML Platform on other providers. Useful when the cloud is still open, or when you are pricing a second one. How far a comparison like that can be trusted is covered in comparing clouds.

Installing it

module "alicloud_machine_learning" {
  source  = "www.iac-bazaar.com/iac-bazaar/alicloud-machine-learning/alicloud"
  version = "1.0.0"
}

A registry token is required for the download itself. Installing through the registry protocol has the two credential steps.