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

GPU cloud comparison · 2026

L

Lyceum vs Paperspace

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

Overall Winner
L
Lyceum
EU-sovereign AI cloud — H100 to H200 with full data residency
from $0.39/h
★★★★☆ 4.2 / 5 (89 reviews)
Try Lyceum →
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

L Lyceum
Paperspace
Starting Price Lower hourly rate
from $0.39/h
from $0.45/h
Overall Rating User rating
4.2 / 5
4.3 / 5
GPU Types Variety
4 types
4 types
Max VRAM Largest available
141 GB
80 GB
Locations Regions covered
EU, Iceland
US, EU
Wins out of 5
4
1

GPU Availability

L Lyceum
A100 80GBH100H200L40S

VRAM: 48–141 GB · Locations: EU, Iceland

Paperspace
A100A6000RTX 4000V100

VRAM: 8–80 GB · Locations: US, EU

Pros & Cons

L Lyceum
Pros
  • Strong EU data residency (no US transit)
  • H200 availability in Europe
  • ISO 27001 + SOC 2 certifications
  • European billing and contracts
Cons
  • Smaller capacity than US-based clouds
  • Higher base price than RunPod / Vast.ai
  • Limited GPU variety beyond Nvidia
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?

L Choose Lyceum if…
  • You need GPU compute for EU-regulated industries
  • You need GPU compute for GDPR-strict workloads
  • You need GPU compute for European public sector
  • You need GPU compute for Health and finance AI
  • Lower price is your top priority (from $0.39/h vs from $0.45/h)
  • You want more GPU variety (4 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
  • Higher user satisfaction matters (4.3 vs 4.2)