GPU cloud comparison · 2026
Azure GPU (NCv3/NDA) vs Hetzner GPU
Azure GPU (NCv3/NDA) wins on 3 of 5 key metrics — but the right choice depends on your workload.
Overall Winner
Azure GPU (NCv3/NDA)
Microsoft's GPU cloud — best for Azure ML and enterprise AI
from $2.94/h
★★★★☆ 4.1 / 5 (1,934 reviews)
Try Azure GPU (NCv3/NDA) →VS
Hetzner GPU
Affordable EU GPU servers — A100 at European prices
from €0.35/h
★★★★☆ 4.2 / 5 (834 reviews)
Try Hetzner GPU →Head-to-Head Comparison
Azure GPU (NCv3/NDA)
Hetzner GPU
Starting Price Lower hourly rate
from $2.94/h
from €0.35/h
Overall Rating User rating
4.1 / 5
4.2 / 5
GPU Types Variety
4 types
2 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
US, EU, APAC, Global
DE, FI
Wins out of 5
3
2
GPU Availability
Azure GPU (NCv3/NDA)
A100H100V100T4
VRAM: 16–80 GB · Locations: US, EU, APAC, Global
Hetzner GPU
A100 PCIeGTX 1080
VRAM: 8–80 GB · Locations: DE, FI
Pros & Cons
Azure GPU (NCv3/NDA)
Pros
- Deep OpenAI / Azure OpenAI integration
- Best choice for Microsoft-stack enterprises
- Strong compliance and government certifications
- Azure ML Studio for no-code ML
Cons
- High on-demand pricing
- Complex portal and billing
- Vendor lock-in with Azure ecosystem
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
Which Should You Choose?
Choose Azure GPU (NCv3/NDA) if…
- You need GPU compute for Azure ML pipelines
- You need GPU compute for Microsoft stack AI
- You need GPU compute for Enterprise compliance
- You need GPU compute for OpenAI API users
- You want more GPU variety (4 vs 2 types)
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 $2.94/h)
- Higher user satisfaction matters (4.2 vs 4.1)