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

GPU cloud comparison · 2026

S

Salad vs Scaleway

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

S
Salad
Distributed inference cloud — RTX 3090/4090 from $0.03/h
from $0.03/h
★★★★☆ 3.9 / 5 (423 reviews)
Try Salad →
VS
Overall Winner
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

S Salad
Scaleway
Starting Price Lower hourly rate
from $0.03/h
from €0.83/h
Overall Rating User rating
3.9 / 5
4 / 5
GPU Types Variety
4 types
4 types
Max VRAM Largest available
24 GB
80 GB
Locations Regions covered
Global (distributed)
FR, NL, EU
Wins out of 5
2
3

GPU Availability

S Salad
RTX 3090RTX 4090RTX 3080RTX 3070

VRAM: 8–24 GB · Locations: Global (distributed)

Scaleway
L4L40SH100H100 SXM

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

Pros & Cons

S Salad
Pros
  • Absurdly cheap — RTX 3090 from $0.03/h
  • Massive horizontal scale (1000+ nodes)
  • Auto-fleet management for inference
  • No data-egress charges
Cons
  • Distributed = no persistent storage
  • Not suitable for training
  • Latency varies by node geography
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?

S Choose Salad if…
  • You need GPU compute for Stateless inference
  • You need GPU compute for Stable Diffusion bulk generation
  • You need GPU compute for Embedding generation
  • You need GPU compute for Cost-sensitive batch jobs
  • Lower price is your top priority (from $0.03/h vs from €0.83/h)
  • 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
  • Higher user satisfaction matters (4 vs 3.9)