Terraform-provisioned PAI workspace access

Scenario

An ML platform team uses Terraform to automate PAI workspace provisioning, first configuring Terraform's Alibaba Cloud credentials (AK/SK or STS), then codifying PAI workspace roles, RAM policies for PAIRecService, and member assignments as reusable IaC modules for repeatable, auditable AI infrastructure deployments.

How the products combine

1. terraform · terraform-manage-authentication — Terraform — Configure Terraform authentication with cloud provider

See terraform/terraform-manage-authentication.

2. pai · pai-manage-permissions — Platform for AI (PAI) — Manage platform access and permissions

See pai/pai-manage-permissions.

Typical questions

• provision PAI workspace with terraform
• automate PAI access control terraform
• terraform deploy PAI workspace roles
• IaC PAI RAM policy
• 用terraform创建PAI工作空间
• 自动化PAI权限配置
• terraform管理PAI成员权限
• PAI infrastructure as code

Q: How can I automate PAI workspace provisioning and access control using Terraform? A: You can automate PAI workspace provisioning and access control by configuring Alibaba Cloud credentials in Terraform and codifying roles, PAIRecService RAM policies, and member assignments as reusable infrastructure-as-code modules. This workflow combines Terraform authentication management with PAI permission controls to deliver repeatable and auditable AI infrastructure deployments.