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

GPU cloud comparison · 2026

R

RunPod vs Scaleway

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

Overall Winner
R
RunPod
Best value GPU cloud — huge selection, community + secure cloud
from $0.20/h
★★★★★ 4.6 / 5 (3,241 reviews)
Try RunPod →
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

R RunPod
Scaleway
Starting Price Lower hourly rate
from $0.20/h
from €0.83/h
Overall Rating User rating
4.6 / 5
4 / 5
GPU Types Variety
5 types
4 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
US, EU, CA
FR, NL, EU
Wins out of 5
5
0

GPU Availability

R RunPod
RTX 3090RTX 4090A100 80GBH100A40

VRAM: 24–80 GB · Locations: US, EU, CA

Scaleway
L4L40SH100H100 SXM

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

Pros & Cons

R RunPod
Pros
  • Cheapest community GPUs from $0.20/h
  • Massive GPU variety including H100
  • Serverless endpoints for inference APIs
  • Great UI and pod management
Cons
  • Community cloud less reliable than dedicated
  • Storage costs add up over time
  • Support can be slow on free tier
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?

R Choose RunPod if…
  • You need GPU compute for Fine-tuning LLMs
  • You need GPU compute for Stable Diffusion
  • You need GPU compute for Training
  • You need GPU compute for Inference
  • Lower price is your top priority (from $0.20/h vs from €0.83/h)
  • Higher user satisfaction matters (4.6 vs 4)
  • You want more GPU variety (5 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