How do I create Azure ML workspace with Terraform?

Grab the code blocks—storage, vault, insights, registry first. Then workspace. Add compute. terraform init, plan, apply. Vars in tfvars.

Does Azure ML need Container Registry?

Not strictly. But custom images? Yes. Managed fallback's slow, opaque.

Can Terraform handle Azure ML compute scaling?

Absolutely. Min zero, max your budget. Idle auto-down. Pay per job.

🚀 New Releases

Terraform Azure ML Workspaces: Ditch the Portal, Provision Like a Pro

Data scientists, rejoice—or at least stop rage-scrolling the Azure portal. This Terraform blueprint builds your entire ML workspace without the usual dependency hell.

DevTools Feed Apr 03, 2026 3 min read 12 views

Terraform code deploying Azure ML workspace with dependencies and compute

⚡ Key Takeaways

Terraform auto-handles Azure ML's four dependencies—no portal drudgery. 𝕏
Compute instances per user, clusters scale to zero: Cost control king. 𝕏
Custom ML demands IaC; portals are for amateurs. 𝕏

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#Azure Compute #Azure Dependencies #Azure ML Workspace #ML Compute Clusters #Machine Learning Infrastructure #Terraform IaC

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