GPU cloud comparison · 2026
Hetzner GPU vs Jarvis Labs
Hetzner GPU wins on 3 of 5 key metrics — but the right choice depends on your workload.
Overall Winner
Hetzner GPU
Affordable EU GPU servers — A100 at European prices
from €0.35/h
★★★★☆ 4.2 / 5 (834 reviews)
Try Hetzner GPU →VS
Jarvis Labs
On-demand H100 / A100 / RTX 6000 Ada from $0.39/h
from $0.39/h
★★★★☆ 4.3 / 5 (312 reviews)
Try Jarvis Labs →Head-to-Head Comparison
Hetzner GPU
Jarvis Labs
Starting Price Lower hourly rate
from €0.35/h
from $0.39/h
Overall Rating User rating
4.2 / 5
4.3 / 5
GPU Types Variety
2 types
4 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
DE, FI
US, Asia
Wins out of 5
3
2
GPU Availability
Hetzner GPU
A100 PCIeGTX 1080
VRAM: 8–80 GB · Locations: DE, FI
Jarvis Labs
RTX 6000 AdaA100 40GBA100 80GBH100
VRAM: 48–80 GB · Locations: US, Asia
Pros & Cons
Hetzner GPU
Pros
- Best GPU pricing in Europe
- GDPR and EU data residency compliant
- Excellent API and automation support
- Trusted Hetzner infrastructure
Cons
- Limited GPU types — mainly A100
- No H100 availability yet
- Fewer GPU locations than US providers
Jarvis Labs
Pros
- Excellent pricing for H100
- RTX 6000 Ada — 48GB at moderate cost
- Polished UI for non-DevOps users
- Quick spinup, low friction
Cons
- Smaller GPU variety than RunPod
- No serverless / autoscaling
- Limited European presence
Which Should You Choose?
Choose Hetzner GPU if…
- You need GPU compute for EU compliance
- You need GPU compute for Research
- You need GPU compute for Inference APIs
- You need GPU compute for Budget EU GPU
- Lower price is your top priority (from €0.35/h vs from $0.39/h)
Choose Jarvis Labs if…
- You need GPU compute for Researchers and indie developers
- You need GPU compute for Llama fine-tuning
- You need GPU compute for Stable Diffusion training
- You need GPU compute for Jupyter notebook users
- Higher user satisfaction matters (4.3 vs 4.2)
- You want more GPU variety (4 vs 2 types)