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Azure / mlops-v2

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment
MIT License
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[QUICKSTART.md] pipeline build failing when creating compute cluster. #81

Closed saiham6 closed 1 year ago

saiham6 commented 1 year ago

Describe the bug or the issue that you are facing

Outer Loop: Deploying Infrastructure via Azure DevOps

Error: waiting for creation of Compute Cluster "cpu-cluster" in workspace "mlw-mlopsv2-0769dev" Code="BadRequest" Message=The specified subscription has a total vCPU quota of 0 and cannot accomodate for at least 1 requested managed compute node which maps to 2 vCPUs.

My guess is as BatchAI is deprecated, it cannot allocate the cpu cluster. I have also tried changing regions and vmsize. None of them seems to work. Or it could be my subscription 'Azure for Students' not having the quota. If it is because of my subscription quota, is there a way around it?

Screenshot 2022-12-26 at 14 46 22

Steps/Code to Reproduce

Run the pipeline as usual in region eastus.

Expected Output

Demo running as intended

Versions

Azure DevOps Terraform Azure ML CLI

Which platform are you using for deploying your infrastrucutre?

Azure DevOps (ADO)

If you mentioned Others, please mention which platformm are you using?

No response

What are you using for deploying your infrastrucutre?

Terraform

Are you using Azure ML CLI v2 or Azure ML Python SDK v2

Azure ML CLI v2

Describe the example that you are trying to run?

Classical ML provided with the repo

saiham6 commented 1 year ago

For 'Azure for Students' subscriptions, you may change the vm_priority to 'Dedicated' from 'LowPriority' quota as it is not available.