Three very different approaches to hosting AI apps: Cloudways (managed cloud), Railway (PaaS), and Hetzner (bare metal VPS). Each has a sweet spot. Here’s how to pick.
Quick comparison
| Cloudways | Railway | Hetzner | |
|---|---|---|---|
| Type | Managed cloud | PaaS | Bare metal VPS |
| Starting price | $14/mo | $5/mo + usage | €4.50/mo |
| Infrastructure | DigitalOcean, AWS, GCP, Vultr | Railway’s infra | Hetzner data centers (EU) |
| Deploy method | Git, SFTP, SSH | Git push | SSH, Docker |
| Managed services | SSL, backups, firewall, monitoring | SSL, databases, auto-deploy | Nothing (DIY) |
| Scaling | Vertical (resize server) | Horizontal (auto-scale) | Manual |
| GPU available | Via AWS/GCP backend | No | Dedicated GPU servers |
| Best for | Teams wanting managed infra | Solo devs wanting simplicity | Cost-optimized production |
Cloudways: managed cloud hosting
Cloudways sits between raw cloud infrastructure and fully managed hosting. You pick your cloud provider (DigitalOcean, AWS, GCP, or Vultr), and Cloudways handles server management: SSL certificates, automated backups, firewall configuration, OS updates, and monitoring.
Pricing (DigitalOcean backend):
| Plan | RAM | CPU | Storage | Price |
|---|---|---|---|---|
| DO1GB | 1 GB | 1 core | 25 GB | $14/mo |
| DO2GB | 2 GB | 1 core | 50 GB | $28/mo |
| DO4GB | 4 GB | 2 cores | 80 GB | $54/mo |
| DO8GB | 8 GB | 4 cores | 160 GB | $107/mo |
AWS and GCP backends cost more but offer more regions and services.
Best for AI apps when:
- You need a managed server with SSH access (install Ollama, run Python scripts)
- Your team doesn’t want to manage OS updates, SSL, and backups
- You’re running multiple applications on one server
- You need a specific cloud provider for compliance or latency
Not ideal when:
- You just need to deploy a single app (Railway is simpler)
- You need GPU inference (RunPod or dedicated GPU servers)
- Budget is under $14/mo
Railway: PaaS simplicity
Railway is the simplest option. Push to GitHub, it deploys. Add a Postgres database in one click. No servers to manage, no SSH, no infrastructure decisions.
Pricing: $5/mo base + usage (CPU, memory, bandwidth). A typical AI app serving 1,000 requests/day costs $5-15/month on Railway.
Best for AI apps when:
- You want the fastest path from code to production
- Your app is a single service (API + database)
- You’re a solo developer or small team
- You don’t need SSH access or custom server configuration
Not ideal when:
- You need to install system-level packages (Ollama, custom binaries)
- You want predictable monthly costs (usage-based can surprise)
- You need multiple sites on one server
See our full Railway deploy tutorial for step-by-step setup.
Hetzner: bare metal value
Hetzner gives you a full Linux server in EU data centers at the lowest price. You manage everything: OS, packages, SSL, backups, monitoring. Maximum control, minimum cost.
Pricing:
| Plan | RAM | CPU | Storage | Price |
|---|---|---|---|---|
| CX22 | 4 GB | 2 vCPU | 40 GB | €4.50/mo |
| CX32 | 8 GB | 4 vCPU | 80 GB | €8.50/mo |
| CX42 | 16 GB | 8 vCPU | 160 GB | €16.90/mo |
| Dedicated GPU | 64 GB + GPU | 8+ cores | 512 GB | From €150/mo |
Best for AI apps when:
- You want the cheapest hosting possible
- You need full control (custom packages, self-hosted AI)
- You’re running Ollama or vLLM locally
- GDPR compliance requires EU data residency
- You’re comfortable with Linux server administration
Not ideal when:
- You don’t want to manage servers
- You need auto-scaling
- You want managed databases and backups
Decision framework
"I don't want to manage servers"
→ Need multiple sites? → Cloudways
→ Single app, fast deploy? → Railway
"I want full control + cheapest"
→ Need EU data residency? → Hetzner
→ Need GPU? → Hetzner dedicated or RunPod
"I need managed + GPU"
→ Cloudways with AWS backend (GPU instances)
→ Or RunPod for GPU + Railway for the app
The hybrid approach
Many production AI apps use a combination:
- Frontend on Vercel (free, global CDN)
- Backend API on Railway ($5-15/mo, simple deploys)
- AI inference on RunPod (GPU, pay per second)
- Database on Railway Postgres or Supabase
Or for maximum control:
- Everything on Hetzner VPS (€8.50/mo for 8GB RAM)
- Ollama for local inference
- Caddy for reverse proxy + auto SSL
Total cost: under €10/month for a full AI app stack.
Cost comparison at scale
| Monthly traffic | Railway | Cloudways (DO) | Hetzner |
|---|---|---|---|
| 100 users/day | $5-10 | $14 | €4.50 |
| 1K users/day | $15-30 | $28 | €4.50 |
| 5K users/day | $50-100 | $54 | €8.50 |
| 10K+ users/day | $100+ | $107 | €16.90 |
Railway gets expensive at scale because of usage-based pricing. Cloudways is predictable. Hetzner is cheapest at every tier but requires more ops work.
Related: Deploy AI App on Railway · Best Hosting for AI Side Projects · Best Cloud GPU Providers · Self-Hosted AI for Enterprise · AI App Deployment Checklist