Independent comparison Updated April 2026 10 GPU providers tested Real hourly pricing

GPU cloud comparison · 2026

OVH GPU vs Paperspace

Paperspace wins on 3 of 5 key metrics — but the right choice depends on your workload.

OVH GPU
European GPU cloud with NVIDIA T4 and V100 options
from €0.54/h
★★★★☆ 3.9 / 5 (567 reviews)
Try OVH GPU →
VS
Overall Winner
Paperspace
Gradient notebooks + GPU VMs — great for ML teams
from $0.45/h
★★★★☆ 4.3 / 5 (1,456 reviews)
Try Paperspace →

Head-to-Head Comparison

OVH GPU
Paperspace
Starting Price Lower hourly rate
from €0.54/h
from $0.45/h
Overall Rating User rating
3.9 / 5
4.3 / 5
GPU Types Variety
3 types
4 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
FR, DE, UK, CA
US, EU
Wins out of 5
2
3

GPU Availability

OVH GPU
T4V100A100

VRAM: 16–80 GB · Locations: FR, DE, UK, CA

Paperspace
A100A6000RTX 4000V100

VRAM: 8–80 GB · Locations: US, EU

Pros & Cons

OVH GPU
Pros
  • Strong EU data sovereignty guarantees
  • Established cloud provider with SLA
  • Multi-region EU availability
  • Good for government/regulated industries
Cons
  • Older GPU lineup (V100 still prominent)
  • More complex setup vs RunPod
  • Higher prices than Hetzner for GPU
Paperspace
Pros
  • Best notebook experience of any cloud GPU
  • Team collaboration features built-in
  • Free tier with limited GPU hours
  • Good documentation and tutorials
Cons
  • Pricier than RunPod for raw compute
  • Limited GPU types vs competitors
  • Gradient platform has occasional issues

Which Should You Choose?

Choose OVH GPU if…
  • You need GPU compute for EU projects
  • You need GPU compute for Inference
  • You need GPU compute for Moderate training
  • You need GPU compute for GDPR requirements
Choose Paperspace if…
  • You need GPU compute for Notebooks
  • You need GPU compute for ML teams
  • You need GPU compute for Prototyping
  • You need GPU compute for Education
  • Lower price is your top priority (from $0.45/h vs from €0.54/h)
  • Higher user satisfaction matters (4.3 vs 3.9)
  • You want more GPU variety (4 vs 3 types)