GPU cloud comparison · 2026
Jarvis Labs vs Scaleway
Jarvis Labs wins on 4 of 5 key metrics — but the right choice depends on your workload.
Overall Winner
Jarvis Labs
On-demand H100 / A100 / RTX 6000 Ada from $0.39/h
from $0.39/h
★★★★☆ 4.3 / 5 (312 reviews)
Try Jarvis Labs →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
Jarvis Labs
Scaleway
Starting Price Lower hourly rate
from $0.39/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, Asia
FR, NL, EU
Wins out of 5
4
1
GPU Availability
Jarvis Labs
RTX 6000 AdaA100 40GBA100 80GBH100
VRAM: 48–80 GB · Locations: US, Asia
Scaleway
L4L40SH100H100 SXM
VRAM: 24–80 GB · Locations: FR, NL, EU
Pros & Cons
Jarvis Labs
Pros
- Excellent pricing for H100
- RTX 6000 Ada — 48GB at moderate cost
- Polished UI for non-DevOps users
- Quick spinup, low friction
Cons
- Smaller GPU variety than RunPod
- No serverless / autoscaling
- Limited European presence
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 Jarvis Labs if…
- You need GPU compute for Researchers and indie developers
- You need GPU compute for Llama fine-tuning
- You need GPU compute for Stable Diffusion training
- You need GPU compute for Jupyter notebook users
- Lower price is your top priority (from $0.39/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