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Unable to deploy LLM - insufficient quota

Dirk Schmidt 20 Reputation points
2024-08-08T22:27:58.75+00:00

I need to deploy an LLM (llama 3, because reasons) and am attempting to do so from the model catalog. We have an Azure Sponsorship with a significant number of credits (verified), and we do have a valid payment method attached to our account, but I am unable to deploy a VM due to "insufficient quota." I then requested a quota increase (for A100 96vcores) but was informed this is impossible at the moment due to demand. I notice (see screenshot) that the VM row on our Usage + Quotas screen is greyed out, so I'm wondering if we have the wrong account type to do this? Please advise. (I chose "Azure AI services" as a tag because there is no "AI Studio" tag.)

Screenshot 2024-08-08 at 5.16.40 PM.png

Screenshot 2024-08-08 at 5.15.14 PM.png

Azure AI services
Azure AI services
A group of Azure services, SDKs, and APIs designed to make apps more intelligent, engaging, and discoverable.
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  1. Konstantinos Passadis 19,281 Reputation points MVP
    2024-08-08T22:34:09.6966667+00:00

    Hello @Dirk Schmidt

    Unfortunately at this time Azure Sponsorships are not prioritized over these types of Machines

    Unless you create a plain PAYG Subscription and ask again it is quite hard to get a Quota there

    This is from personal experience

    --

    I hope this helps!

    Kindly mark the answer as Accepted and Upvote in case it helped!

    Regards

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