Why my quota are in use while I shut down all the machines in Azure ML?

Afshin Amiri 10 Reputation points

When deploying a model in Azure ML, I got the "not enough quota". So I shut down the machines in Azure ML but I get the same message again:

User's image

Then I checked the portal "Quota Usage" and it is like this:


First question: Are these two conflicting? If not how do I am supposed to free up my usage ( and not request more quota)

Second Question: Even this is so, is there a workaround for this problem?


Azure Virtual Machines
Azure Virtual Machines
An Azure service that is used to provision Windows and Linux virtual machines.
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  1. Afshin Amiri 10 Reputation points

    Dear Support team

    Thank you for your help and guiding me through different possibilities.

    In fact, it was the endpoints which were consuming the resources.

    I had 11 missing compute cores:

    My colleague and I had created 3 one-core machines and one 4-core machine with 2 instances which add up to 11 cores. (Though the deployment failed but it consumed and dedicated the resource.

    One I shut them down, the resource got free.

    Note for fellow developers: At first, I was using real-time endpoint(quick) and then I realized it assign number of instances to more than 1 for load balancing. If you (like me) are in short of resources, do not use this option and go with real-time endpoint.

    Thank you very much again.

    2 people found this answer helpful.
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