New Azure AI Machine Learning Data Labeling is producing an error

Question

If I go to Vision, and click on "Customize models with images", and go to an Azure ML Labeling Project, the project is paused. I cannot unpause it. It says "This project has encountered an error and is unable to initialize".

I try to create a new Azure AI Machine Learning workspace.

If I click on "Launch studio", and go to Manage - Data Labeling, then "+ Create" and fill in the details, it says "There is insufficient quota to create a gpu compute target".

This is the first time I am creating a Machine Learning workspace. If I go to the quota, it says there is 20 available, so increasing my quota wouldn't seem to be effective.

What can I do?

Answer 1

The error message "There is insufficient quota to create a gpu compute target" indicates that you do not have enough quota to create a GPU compute target. You can check your quota for various Azure resources like virtual machines, storage, or network using the Azure portal. To manage Azure Machine Learning compute quota on your subscription separately from other Azure quotas, go to your Azure Machine Learning workspace in the Azure portal and select Support + troubleshooting > Usage + quotas. You can view your current quota limits and usage and filter to the region you're interested in. If you need to increase your quota, you can follow the instructions in the Manage and increase quotas and limits for resources with Azure Machine Learning documentation.

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References:

• Manage and increase quotas and limits for resources with Azure Machine Learning

Answer 2

@Phillip Burton Thanks for reaching out to us, it seems you enabled assisted labeling, selected Enable ML assisted labeling which need to specify a GPU.

If you don't want to use this feature, you can disable it so that the GPU quota issue will not affect on your case.

If you don't have a GPU in your workspace, a GPU cluster is created for you and added to your workspace. The cluster is created with a minimum of zero nodes, which means it costs nothing when not in use. Typically, there is only CPU but no GPU by default, please take a look on your workspace to confirm.

If you need the quota, please feel free to request it. Let me know if you need any help.

I hope this helps.

Regards,

Yutong

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