Not enough quota available when deploying a machine learning model on Azure

Question

I was trying to deploy and score a machine learning model by using an online endpoint.

When I was trying to run code this on Azure Machine Learning Wordspace,

!az ml online-deployment create --name fraud-ga --endpoint endpoint-name -f ../deployment/deployment.yml --all-traffic  

I got this error:

{"errors":{"VmSize":["Not enough quota available for Standard_F16s_v2 in SubscriptionId 671ef6e1-2ded-466b-8fd1-91363cf12275. Current usage/limit: 4/6. Additional needed: 32 Please see troubleshooting guide, available here: https://aka.ms/oe-tsg#error-outofquota"]},"type":"https://tools.ietf.org/html/rfc7231#section-6.5.1","title":"One or more validation errors occurred.","status":400,"traceId":"00-a308e99ddee5fc8714e34fd0808b7e93-2031400dbc3e84d1-01"}  

What I understood is that I need more cores.

So, in this case how many cores I needed and how to solve this error?

Answer 1

It sounds like you don't have enough quota available in the region where you are trying to deploy the ML model.
In Azure portal, you can check the allocated quota for each region under the subscription blade:

The error message says: Current usage/limit: 4/6. Additional needed: 32

Request a quota increase and Azure support team can help on that!

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Answer 2

I have this same issue with the quota, how do you suggest we fix it ?