Free AI Hosting in 2026 — Where to Deploy Your AI Apps
The bottom line: You can deploy a full-stack AI web app — frontend, backend API, database, and auth — for exactly $0/month across seven different platforms. The catch is knowing which platform fits each piece of your stack. This guide compares every major free hosting tier in 2026, with limits, deployment patterns, and real cost projections for AI workloads.
Why Free Hosting Still Matters for AI Apps in 2026
AI web apps have a different hosting profile than traditional SaaS. They need:
- Serverless functions for LLM proxy endpoints (no cold start tolerance varies by use case)
- Static frontends that are content-heavy (documentation, playgrounds, dashboards)
- Background workers for batch inference, RAG ingestion, or agent loops
- Tiny databases for session state, user profiles, or vector index metadata
- Zero cost at low traffic — most AI side projects get handfuls of DAU
Every platform below handles at least two of these on its free tier. The trick is combining them into a coherent stack without paying a cent.
1. Vercel — The AI Frontend King
Free plan: Hobby ($0/month) Pricing page: vercel.com/pricing / vercel.com/docs/plans/hobby
Free tier limits (Hobby, June 2026):
| Resource | Limit |
|---|---|
| Bandwidth | 100 GB/month |
| Serverless function execution | 100 GB-hours/month |
| Build minutes | 6,000 min/month |
| Edge requests | 1,000,000/month |
| Serverless function timeout | 10s (Hobby), 60s (Pro — Hobby hard-capped) |
| Projects | 200 |
| Team members | 1 |
Best for: AI demo frontends, Next.js apps with API routes, AI chatbots with streaming.
Best use case for AI: Deploy a Next.js frontend that proxies to OpenAI/Anthropic on the client or via a Vercel Function. The 10s timeout on Hobby is the real pain point — any LLM call that streams or takes multiple model turns will hit it. For demo apps with fast single-turn completions, it works fine.
Deployment example:
# Deploy a Next.js AI chatbot app
npx create-next-app@latest my-ai-chat
cd my-ai-chat
vercel --prodCitation: Vercel Hobby Plan docs — vercel.com/docs/plans/hobby
2. Cloudflare Pages — Unlimited Bandwidth, Global Edge
Free plan: Free ($0/month) Pricing page: cloudflare.com/plans/developer-platform / developers.cloudflare.com/pages/platform/limits
Free tier limits:
| Resource | Limit |
|---|---|
| Bandwidth | Unlimited |
| Requests | 100,000/day across Workers + Pages Functions |
| CPU time | 10ms CPU time per request (Workers) |
| Assets per site | 20,000 files |
| Builds | 500 builds/month |
| Workers | 100,000 requests/day across all Workers + Functions |
Best for: High-bandwidth AI frontends, documentation sites, API proxies, RAG frontends.
Best use case for AI: Cloudflare’s unlimited bandwidth makes it the single best choice for AI content sites — docs, model cards, and dashboards that serve heavy assets. Pair with Cloudflare Workers for lightweight LLM proxy functions. The 10ms CPU limit means you can’t do heavy inference on Workers, but you can proxy API calls to external LLM providers.
Deployment example:
# Deploy a static AI documentation site
npm create cloudflare@latest my-ai-docs -- --framework=astro
cd my-ai-docs
npx wrangler pages deployCitation: Cloudflare Workers & Pages Pricing — cloudflare.com/plans/developer-platform; Cloudflare Pages limits — developers.cloudflare.com/pages/platform/limits
3. Netlify — Generous Build Minutes + Edge Functions
Free plan: Free ($0/month, introduced Nov 2024) Pricing page: netlify.com/pricing
Free tier limits (credit-based since 2024):
| Resource | Limit |
|---|---|
| Bandwidth | 100 GB/month |
| Build minutes | 300 min/month |
| Function invocations | 125,000/month |
| Edge function invocations | 1,000,000/month |
| Concurrent builds | 1 |
Best for: Content-driven AI apps, server-rendered dashboards, edge-computed AI features.
Best use case for AI: Netlify’s Edge Functions (powered by Deno) can do lightweight LLM prompt assembly and response parsing at the edge. The 100 GB bandwidth is plenty for a demo AI app. The 300 build minutes per month can go fast if you deploy frequently — combine with Git-driven deploys to minimize rebuilds.
Deployment example:
# Deploy an AI dashboard to Netlify
netlify deploy --prod --dir=distCitation: Netlify Pricing — netlify.com/pricing
4. Render — Full Backend Hosting (with a Catch)
Free plan: Free (web services + Postgres + Redis) Pricing page: render.com/pricing / render.com/docs/free
Free tier limits:
| Resource | Limit |
|---|---|
| RAM | 512 MB (web services) |
| CPU | 0.1 vCPU shared |
| Instance hours | 750 hours/month per workspace |
| Bandwidth | 100 GB/month (combined) |
| Postgres | 256 MB RAM (free, 30-day data expiry on some tiers) |
| Redis (KV) | Free tier available |
| Cold start | Spins down after 15 min inactivity, 30-60s cold start |
Best for: Full-stack AI backends that don’t need low latency — RAG APIs, batch inference servers, AI agent HTTP endpoints.
Best use case for AI: Render is the only free tier that gives you a persistent web service with 512 MB RAM — enough to run a small FastAPI app, a LiteLLM proxy, or a RAG ingestion pipeline. The 15-minute spin-down is the real gotcha: users hitting your AI app after idle time face a 30-60 second cold start. Mitigate by using a health-check pinger (one of many free uptime monitors).
Deployment example:
# render.yaml — single-service config
services:
- type: web
name: ai-proxy
env: python
plan: free
buildCommand: pip install -r requirements.txt
startCommand: uvicorn main:app --host 0.0.0.0 --port 10000Citation: Render Free Plan — render.com/docs/free; Render Pricing — render.com/pricing
5. Kinsta — 100 Static Sites, Completely Free
Free plan: Static Site Hosting ($0/month) Pricing page: kinsta.com/changelog/static-site-hosting
Free tier limits:
| Resource | Limit |
|---|---|
| Sites | Up to 100 static sites |
| Bandwidth | 100 GB/month (shared across all sites) |
| Storage | 1 GB per site (build image max) |
| Build minutes | 600 min/month per company |
| Concurrent builds | 1 per site |
| SSL | Automatic (free) |
Best for: AI documentation sites, model comparison pages, multiple AI project landing pages.
Best use case for AI: If you’re building multiple AI tools or agent dashboards, Kinsta’s offer of 100 free static sites is unmatched. Each site gets its own subdomain/domain, automatic SSL, and deployment from GitHub. Perfect for hosting AI project documentation, API references, and demo splash pages. No serverless functions though — pure static only.
Deployment example:
# Connect GitHub repo → Kinsta dashboard
# Kinsta auto-deploys on push to main branchCitation: Kinsta Static Site Hosting — kinsta.com/changelog/static-site-hosting
6. DigitalOcean App Platform — Free Static Sites, Paid Backends
Free plan: Free tier (static sites only) Pricing page: digitalocean.com/pricing/app-platform / docs.digitalocean.com/products/app-platform/details/pricing
Free tier limits:
| Resource | Limit |
|---|---|
| Static sites | Up to 3 apps (static only) |
| Bandwidth | Included (no explicit cap for static sites on free tier) |
| Compute | N/A — static only on free tier |
| Paid tier start | $5/month (512 MB RAM, 1 vCPU shared, 50 GB disk) |
Best for: Static AI landing pages, AI portfolio sites, low-traffic demo frontends.
Best use case for AI: DO’s free tier is limited to static sites — no serverless functions, no backend compute. Use it for hosting AI project documentation, landing pages, or static React/Vue dashboards that connect to an external API. The paid $5/month tier is one of the cheapest entry points into a real backend if you outgrow the free tier.
Deployment example:
# Deploy a static AI app (React/Vue/Astro)
doctl apps create --spec .do/app.yamlCitation: DigitalOcean App Platform Pricing — digitalocean.com/pricing/app-platform; DO App Platform docs — docs.digitalocean.com/products/app-platform/details/pricing
7. Qoddi — 3 Free Static Sites + Unlimited Bandwidth
Free plan: Free tier Pricing page: qoddi.com/pricing
Free tier limits:
| Resource | Limit |
|---|---|
| Static sites | 3 free |
| RAM | 512 MB shared per app |
| Bandwidth | Unlimited |
| Team members | Unlimited |
| Builds | Unlimited atomic deploys |
Best for: Lightweight AI apps that need unlimited bandwidth, small AI agent APIs.
Best use case for AI: Qoddi’s free tier includes static sites and basic app hosting with unlimited bandwidth and 512 MB RAM. It sits between a pure static host and Render — you can run a small backend process but the CPU is shared. The unlimited bandwidth and team members make it compelling for open-source AI projects with multiple contributors.
Deployment example:
# Connect GitHub repo via Qoddi dashboard
# Qoddi auto-deploys on each pushCitation: Qoddi Pricing — qoddi.com/pricing
Cost Analysis: Building an AI App for $0
Here’s how a realistic AI side project — a chatbot with a frontend, API proxy, and Postgres session store — would cost on each platform:
| Platform | Frontend | Backend API | Database | Monthly Cost |
|---|---|---|---|---|
| Vercel | Hobby (free) | 10s timeout — limited | N/A (use external) | $0 (if under 100 GB, 100k edge reqs) |
| Cloudflare Pages | Free | Workers (100k reqs/day) | D1 (free 5 GB) | $0 |
| Netlify | Free (100 GB bw) | Functions (125k/mo) | N/A (use external) | $0 |
| Render | Static (free) | Web service (512 MB) | Postgres 256 MB | $0 (cold starts) |
| Kinsta | Static only (100 sites) | None | N/A | $0 |
| DigitalOcean | Static only (3 sites) | Paid from $5/mo | Paid from $7/mo | $0 (static) / $12+ (full stack) |
| Qoddi | Static (3 sites free) | 512 MB app | N/A | $0 |
Winner for an all-in-one AI stack: Cloudflare Pages + Workers + D1 gives you a frontend, serverless backend, and database at $0 with the highest free tier bandwidth.
Winner for a full backend: Render gives you a persistent 512 MB web service that can run FastAPI, Flask, or Express — no platform-imposed function timeout, just a cold start after idle.
Deployment Patterns for AI Apps
Pattern 1: Static Frontend + External API
Use Cloudflare Pages or Kinsta to serve your React/Vue/Astro frontend. Connect it to an external LLM API (OpenAI, Anthropic) via client-side calls with a proxy key.
---
// astro.config.mjs — deploy to Cloudflare Pages
import { defineConfig } from 'astro/config';
import cloudflare from '@astrojs/cloudflare';
export default defineConfig({
output: 'server',
adapter: cloudflare(),
});Pattern 2: Full-Stack with Serverless
Use Vercel (Next.js API routes) or Cloudflare Workers for backend logic. Pair with Neon (free Postgres, 0.5 GB) or Turso (free SQLite, 9 GB) for storage.
Pattern 3: Backend Service + Static Frontend
Deploy a FastAPI/Express backend on Render’s free tier. Deploy the frontend on Cloudflare Pages or Kinsta. The backend handles LLM proxying, RAG ingestion, and session management.
# main.py — deploy on Render free tier
from fastapi import FastAPI
from pydantic import BaseModel
from openai import OpenAI
app = FastAPI()
client = OpenAI()
class ChatRequest(BaseModel):
prompt: str
@app.post("/chat")
async def chat(req: ChatRequest):
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": req.prompt}]
)
return {"response": response.choices[0].message.content}Actionable Recommendations
1. Start with Cloudflare Pages + Workers. Unlimited bandwidth, 100k requests/day, and D1 database support make it the most capable free tier for AI apps that just need to serve content and proxy API calls.
2. Add Render for backend workloads. When you need a real web service (not just serverless functions), Render’s 512 MB free tier handles FastAPI apps, LiteLLM proxies, and RAG servers. Ping it every 5 minutes to avoid cold starts.
3. Use Vercel for AI demos with short-lived functions. The 10-second Hobby timeout is tight but workable for single-turn completions and streaming responses. Great for prototyping.
4. Keep Kinsta in your pocket for documentation. 100 free static sites is unbeatable for hosting AI documentation, model cards, and project landing pages — especially for open-source projects with multiple sub-sites.
5. Graduate to DigitalOcean ($5/mo) when you need reliable compute. The $5/month App Platform tier gives you a real backend without spin-down. It’s the cheapest paid entry point when you outgrow free tiers.
6. Avoid Netlify for AI backends — use it for content sites. Netlify shines for content-driven sites (blogs, docs, marketing pages). Its function limits (125k/month) are fine for light usage, but the 300 build minutes can get eaten fast.
7. Monitor your bandwidth. Vercel’s 100 GB, Netlify’s 100 GB, and Kinsta’s 100 GB limits go fast if you serve model weights, large datasets, or high-resolution images to AI dashboards. Cloudflare’s unlimited bandwidth is the outlier that saves you here.
All pricing and limits verified as of June 2026. Free tiers change — always check the official pricing pages before committing to a deployment strategy. Links to all sources are inline above.
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