Independent comparison Updated April 2026 20 GPU providers tested Real hourly pricing

GPU cloud comparison · 2026

Paperspace vs Scaleway

Paperspace wins on 4 of 5 key metrics — but the right choice depends on your workload.

Overall Winner
Paperspace
Gradient notebooks + GPU VMs — great for ML teams
from $0.45/h
★★★★☆ 4.3 / 5 (1,456 reviews)
Try Paperspace →
VS
Scaleway
European cloud with H100 SXM and L40S — Paris and Amsterdam regions
from €0.83/h
★★★★☆ 4 / 5 (234 reviews)
Try Scaleway →

Head-to-Head Comparison

Paperspace
Scaleway
Starting Price Lower hourly rate
from $0.45/h
from €0.83/h
Overall Rating User rating
4.3 / 5
4 / 5
GPU Types Variety
4 types
4 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
US, EU
FR, NL, EU
Wins out of 5
4
1

GPU Availability

Paperspace
A100A6000RTX 4000V100

VRAM: 8–80 GB · Locations: US, EU

Scaleway
L4L40SH100H100 SXM

VRAM: 24–80 GB · Locations: FR, NL, EU

Pros & Cons

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
Scaleway
Pros
  • Strong EU presence (Paris + Amsterdam)
  • Mature cloud platform (S3, k8s, networking)
  • Per-minute billing
  • EUR pricing avoids USD volatility
Cons
  • More expensive than US specialists like RunPod
  • No B200 / H200 yet
  • Limited capacity for big training runs

Which Should You Choose?

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 €0.83/h)
  • Higher user satisfaction matters (4.3 vs 4)
  • You want more GPU variety (4 vs 4 types)
Choose Scaleway if…
  • You need GPU compute for European startups
  • You need GPU compute for GDPR-compliant inference
  • You need GPU compute for k8s-based AI deployments
  • You need GPU compute for EU enterprise