You plan to create an AI application by using Azure AI Foundry. The solution will be deployed to dedicated virtual machines. Which deployment option should you use?

The correct answer is D. serverless API. Deployment options Azure AI Foundry provides several deployment options depending on the type of models and resources you need to provision. The following deployment options are available: Standard deployment in Azure AI Foundry resources Deployment to serverless API endpoints *

Submitted by naveen.iyer· Mar 30, 2026Describe AI workloads and considerations

Question

You plan to create an AI application by using Azure AI Foundry. The solution will be deployed to dedicated virtual machines. Which deployment option should you use?

Options

AAzure virtual machines
BAzure Kubernetes Service (AKS) cluster
Cmanaged compute
Dserverless API

How the community answered

(30 responses)

A
17% (5)
B
7% (2)
C
3% (1)
D
73% (22)

Explanation

Deployment options Azure AI Foundry provides several deployment options depending on the type of models and resources you need to provision. The following deployment options are available: * Standard deployment in Azure AI Foundry resources * Deployment to serverless API endpoints * Deployment to managed computes Serverless API endpoint This deployment option is available only in Azure AI hub resources. It allows you to create dedicated endpoints to host the model, accessible through an API. Azure AI Foundry Models support serverless API endpoints with pay-as-you-go billing, and you can create only regional deployments for serverless API endpoints. https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/deployments-overview

Topics

#Azure AI Foundry#AI application deployment#Serverless AI

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