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

GPU cloud comparison · 2026

N

Nebius vs Paperspace

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

Overall Winner
N
Nebius
EU-sovereign AI cloud from the Netherlands — full GDPR compliance, H100 to B200
from $1.55/h
★★★★★ 4.5 / 5 (287 reviews)
Try Nebius →
VS
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

N Nebius
Paperspace
Starting Price Lower hourly rate
from $1.55/h
from $0.45/h
Overall Rating User rating
4.5 / 5
4.3 / 5
GPU Types Variety
5 types
4 types
Max VRAM Largest available
192 GB
80 GB
Locations Regions covered
NL, FI, EU
US, EU
Wins out of 5
4
1

GPU Availability

N Nebius
H100H200B200L40SA100 80GB

VRAM: 48–192 GB · Locations: NL, FI, EU

Paperspace
A100A6000RTX 4000V100

VRAM: 8–80 GB · Locations: US, EU

Pros & Cons

N Nebius
Pros
  • Strong EU data residency — perfect for German / EU enterprise
  • Modern hardware including B200 SXM
  • Managed cluster orchestration included
  • Strong customer support in European hours
Cons
  • More expensive on-demand than RunPod / Vast.ai
  • EU-only regions (no US datacenters)
  • Smaller global presence than hyperscalers
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?

N Choose Nebius if…
  • You need GPU compute for EU-sovereign AI workloads
  • You need GPU compute for GDPR-bound enterprises
  • You need GPU compute for Frontier model training
  • You need GPU compute for European startups
  • Higher user satisfaction matters (4.5 vs 4.3)
  • You want more GPU variety (5 vs 4 types)
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 $1.55/h)