VPS Hetzner Cost Calculator - Workload-driven CCX Selector
Enter your real workload (target RPS, app RAM, storage, LLM models to host) and get the recommended Hetzner CCX tier with monthly and annual cost, plus a comparison vs equivalent AWS and DigitalOcean.
Snapshot prices 2026-05. Check on hetzner.com/cloud for current pricing. AWS and DigitalOcean prices are EU on-demand estimates. This tool does not constitute purchase advice.
Configure the workload
LLM hosting models (on-premise Ollama)
Select the models to run concurrently. The memory is summed up.
Recommended Tier
Why this layer?
Scaled for RAM (app + LLM + 30% buffer)
Comparison Providers Equivalents
vs Amazon Web Services (AWS) On-Demand in the European Union (EU), specifically Frankfurt, and Digital Ocean's basic plan.| Instance/ Provider | Monthly | Annualy | Hetzner vs AWS (Amazon Web Services) |
|---|---|---|---|
| Hetzner CCX13Recommended | €23.00 | €276.00 | Reference |
| AWS t3.mediumAWS | €30.00 | €360.00 | +€7.00/mo |
| AWS t3.largeAWS | €60.00 | €720.00 | +€37.00/mo |
| AWS t3.xlargeAWS | €120.00 | €1440.00 | +€97.00/mo |
| DO Basic 4 GBDO | €24.00 | €288.00 | +€1.00/mo |
| DO Basic 8 GBDO | €48.00 | €576.00 | +€25.00/mo |
| DO Basic 16 GBDO | €96.00 | €1152.00 | +€73.00/mo |
All Hetzner CCX AMD Dedicated vCPU Tiers
Note: all CCX tiers use dedicated AMD EPYC CPUs (not shared like CX shared). For high-competition GPU/AI workloads, consider Hetzner Robot with a dedicated GPU (not available in standard Cloud UI).
Come utilizzare VPS Hetzner Cost Calculator
Insert workload
Set RPS target, app RAM (no LLM), total storage and predicted monthly traffic. You can use precompiled scenarios "Scenario 3 LLM" or "API Production".
Choose models for hosting LLMs
Select Ollama on-prem models you expect to run concurrently (llama3.1:8b, qwen2.5:7b, mistral:7b, llava:7b). RAM required is added.
Read the recommended tier
The tool automatically selects the minimum CCX tier that meets total RAM, storage, and RPS requirements, displaying monthly and annual costs.
Compare with AWS and DigitalOcean
In comparison table verify estimated savings compared to AWS t3 and DigitalOcean Droplet with similar specifications.
Suggerimenti
- Use the "Scenario 3 LLM" scenario to simulate a VPS hosting multiple Ollama models concurrently and immediately verify its impact on total RAM.
- Plan for growth in traffic or storage - leave buffer space: switching from one tier to another on Hetzner requires a resize (brief downtime) and is not instantaneous.
- For high-competition GPU/AI workload, Hetzner Robot with dedicated GPU is valued over cloud-based UI standard on which this calculator is based.
Domande frequenti
How is the Tier CCX recommended amount calculated?
Tool sums application and model LLM selected RAM, applies a 30% buffer for operating system and cache, then selects the first suitable Hetzner CCX tier (13/23/33/43) with sufficient RAM and storage. If no tier is sufficient, proposes the largest available (CCX43).
How much RAM do selected LLM models occupy?
Approximate memory usage: Q4_K_M - 6GB, qwen2.5 - 5GB, mistral - 5GB, llava (vision model) - 8GB. These are estimated memory requirements for Ollama on-prem execution, not GPU-accelerated.
Are prices shown up-to-date?
Prices are an outdated snapshot (visible in the box disclaimer above) and are updated periodically. Always check the current quote on hetzner.com/cloud before a purchase: AWS and DigitalOcean prices are indicative estimates for on-demand EU.
Why does Hetzner CCX compare favorably to AWS or DigitalOcean for similar workloads?
Concise and similar length translation: Be concise — keep similar length. Output ONLY the translation, no quotes, no explanation. Italian: I tier CCX use dedicated AMD EPYC vCPU (non shared) at a fixed monthly price, with traffic ranging from 20 to 60 TB per tier. AWS on-demand and burstable instances like t3 often cost more than equal to RAM, while DigitalOcean has shared CPUs on Basic plans.
What do the warnings below the recommendation mean?
Check conditions: LLM inference on CPU (latency 10-60s per token without dedicated GPU on CCX13), declared traffic over 5,000 GB/month, storage above 80% of included disk in tier, or requires dedicated GPU for high-volume AI workload (available only on Hetzner Robot, not Cloud UI).