You plan to create an AI application that will use Azure OpenAI Service. The solution requires that a specific amount of throughput be allocated. Which type of deployment should you use?

The correct answer is B. provisioned. When a specific amount of throughput is needed with Azure OpenAI Service, you should use Provisioned Throughput Units (PTUs) for your deployment. PTUs allow you to reserve a fixed amount of processing capacity for your models, ensuring consistent performance and avoiding…

Submitted by katya_ua· Mar 30, 2026Describe AI workloads and considerations

Question

You plan to create an AI application that will use Azure OpenAI Service. The solution requires that a specific amount of throughput be allocated. Which type of deployment should you use?

Options

Aglobal batch
Bprovisioned
Cdata zone standard
Dstandard

How the community answered

(15 responses)

A
7% (1)
B
87% (13)
C
7% (1)

Explanation

When a specific amount of throughput is needed with Azure OpenAI Service, you should use Provisioned Throughput Units (PTUs) for your deployment. PTUs allow you to reserve a fixed amount of processing capacity for your models, ensuring consistent performance and avoiding potential throttling or rate limits. In contrast, the "Standard" deployment option in Azure OpenAI Service uses a "pay-as-you-go" model, where you are billed for the amount of usage. While this can be suitable for applications with fluctuating usage patterns, it does not provide the same level of throughput control as PTUs. In summary: When you need to allocate a specific amount of throughput with Azure OpenAI Service, choose the "Provisioned" deployment type, which allows you to use PTUs. https://github.com/MicrosoftDocs/azure-ai-docs/blob/main/articles/ai- services/openai/concepts/provisioned-throughput.md

Topics

#Azure OpenAI Service#Provisioned throughput#OpenAI deployment types

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