How I Hosted a Production AI App for $10/Year — HuggingFace Spaces + Cloudflare Worker

The Problem Everyone Gets Wrong Every "deploy your AI app" tutorial sends you to Railway, Render, or Vercel. Railway gives you 512MB RAM — not enough for a real AI stack Render sleeps your app after 15 minutes of inactivity Vercel kills long-running processes and SSE streams I needed something different. My app runs: FastAPI backend with SSE streaming Offline neural TTS (Piper) Self-hosted translation (LibreTranslate) LLM API with failover None of these work on serverless platforms. The Stack Nobody Talks About After research and testing, I landed on: HuggingFace Spaces (free) + Cloudflare Worker (free) + Custom domain (~$10/year) Here's why this combination is unbeatable for AI apps. HuggingFace Spaces — Free Tier Resource Free Allocation RAM 16GB CPU 2 vCPU Disk 50GB Spaces Unlimited Sleep After 48hrs inactivity Full Docker support — any framework, any language. FastAPI, SSE streaming, long-running processes — a