Article
Self-Hosting Your Own AI Model on Azure
Run a real language model behind your app for very little a month, using a container that scales to zero, and understand what end to end encrypted really means once an AI is in the loop.
- Published 2026-06-14
- Author: Yves Ketemwabi Shamavu
- Topics: Azure, LLM, Container Apps, ACR, Self-Hosting
Overview
A practical walkthrough for running your own language model behind an app on Azure: bake a small quantized model into a container image, build it in the cloud with ACR, deploy to Azure Container Apps with scale-to-zero, tune the thread count for CPU latency, restrict ingress to your backend, reason about the cost model, and understand why a normal server-side AI feature cannot accurately be called end to end encrypted.
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Key themes
The article focuses on Azure, LLM, Container Apps, ACR, Self-Hosting. The complete in-app essay expands on the engineering tradeoffs, implementation details, and practical lessons behind the topic.
- Azure
- LLM
- Container Apps
- ACR
- Self-Hosting
- Ollama