Can't deploy Azure Open AI models due "No quota is available for this deployment. You can request for more quota."

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英文:

Can't deploy Azure Open AI models due "No quota is available for this deployment. You can request for more quota."

问题

我想测试gpt-35-turbo-16k模型,所以我尝试部署它。然而,我收到一条消息,表示没有可用的配额。我最初认为这可能是由于已有的gpt-35-turbo模型部署导致的,所以我删除了它。不幸的是,即使删除了之前的部署,我仍然遇到了同样的问题。此外,我尝试重新部署gpt-35-turbo模型,但由于同样的问题而无法这样做。

这是我的实际配额:

而这些是我已经部署的模型:

编辑:

在遇到问题后,我创建了两个新的实例。第一个是为了看看是否在新的实例中错误消失,第二个是为了尝试不同的地区,但不幸的是,它们都没有起作用。我还清除了实例,以防有另一个我不记得的实例,但情况并非如此。我仍然面临同样的问题。今天发生的另一件奇怪的事情是,gpt-35-turbo-16k模型从可部署模型列表中消失了。

英文:

I wanted to test the gpt-35-turbo-16k model, so I attempted to deploy it. However, I received a message stating that there was no quota available. I initially assumed that it might be due to an existing deployment of the gpt-35-turbo model, so I deleted it. Unfortunately, I encountered the same issue even after removing the previous deployment. Furthermore, I tried redeploying the gpt-35-turbo model but was unable to do so due to the same problem.
Can't deploy Azure Open AI models due "No quota is available for this deployment. You can request for more quota."

This is my actual quota:
Can't deploy Azure Open AI models due "No quota is available for this deployment. You can request for more quota."

And those are the models that I have deployed:
Can't deploy Azure Open AI models due "No quota is available for this deployment. You can request for more quota."

Edit:

I have created two new instances after encountering the issue. The first one was just to see if the error disappears with a fresh instance, and the second one was to try a different region, but unfortunately, neither of them worked. I also purged instances in case there was another one that I didn't remember, but that wasn't the case. I am still facing the same issue. Another weird thing that occurred today was that the gpt-35-turbo-16k model disappeared from the list of deployable models.

答案1

得分: 1

我向Microsoft开了一个支持工单,他们给了我一个解决方法。

同时,作为一种缓解措施,您能否在订阅级别提供"read(microsoft.cognitiveservices/locations/usages/read)"权限。在Open AI Studio上,Usages API请求从订阅级别拉取OpenAI的当前使用情况。

看起来问题与权限有关,如果您使用具有订阅级别权限的帐户部署模型,您将能够部署模型。
在我的情况下,我的用户具有资源组级别的权限,所以我认为它无法"读取"是否有足够的配额来进行部署。

我认为这种行为是不正确的,但不幸的是,至少这位Microsoft代表似乎不同意我。

我有机会进一步讨论了这个问题,与产品团队。我想澄清一下,对于Open AI,整个配额堆栈都是基于订阅级别的。所以在这种情况下,成为资源/资源组的所有者/贡献者不会有任何区别。您需要在订阅级别拥有权限来进行配额更改。无论是贡献者还是读者,在订阅级别的角色都可以使用。产品团队正在努力显示更好的错误消息,而不是"无配额...",以及更好的文档。

我希望Microsoft意识到这个错误,我们将能够再次部署模型,而无需订阅级别的权限。

英文:

I opened a support ticket with Microsoft and they gave me a workaround.

> In the meanwhile, as a mitigation, would you please provide
> read(microsoft.cognitiveservices/locations/usages/read) permission in
> a subscription level. Usages API request on Open AI Studio pulls
> current usage of OpenAI from the subscription level.

Seems like the problem is related to permissions, if you deploy the model with an account with subscription level permissions you will be able to deploy the models.
In my case my user has resource group level permissions so I think is unable to "read" if there is enough quota available to do the deploy.

I think this behavior is no correct but unfortunately seems like at least this Microsoft representant isn't agree with me.

> I had a chance to further discuss this issue with the product team. I
> would like to clarify that the entire quota stack is subscription
> level based for Open AI. So being an owner/ contributor for the
> resource/ resource group wouldn't make a difference in this case. You
> need to have the permission in subscription level to make quota
> changes. Either contributor or a Reader works for subscription level
> role. Product team are working on showing a better error message
> rather than "No quota..." and also better documentation.

I hope Microsoft realize this mistake and we will be able again to deploy models without the need of subscription level permissions.

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  • 本文由 发表于 2023年7月13日 00:10:48
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