Azure vs AWS for AI Apps: Faster Performance, Lower Complexity, Better Cost Control
Recommended category
Cloud, Azure, AI
Estimated reading time
8–10 minutes
Azure vs AWS for AI applications: what hands-on testing shows about performance, cost and complexity
Introduction
AI is now moving from experiments to real business systems. RAG-based applications and agentic AI are being used to speed up support, improve internal search, generate code, and automate work. The infrastructure choice matters because AI apps are sensitive to latency, rely on several connected services, and often handle valuable or regulated data.
A hands-on test by Principled Technologies compared two approaches to running an AI application using Azure OpenAI. One approach was to host the app on Azure. The other hosted the app on AWS while still calling Azure OpenAI for the model. The results showed clear performance advantages when the application was deployed fully on Azure, especially in the RAG search layer.
