GPU cloud comparison · 2026
Jarvis Labs vs OVH GPU
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
OVH GPU
European GPU cloud with NVIDIA T4 and V100 options
from €0.54/h
★★★★☆ 3.9 / 5 (567 reviews)
Try OVH GPU →Head-to-Head Comparison
Jarvis Labs
OVH GPU
Starting Price Lower hourly rate
from $0.39/h
from €0.54/h
Overall Rating User rating
4.3 / 5
3.9 / 5
GPU Types Variety
4 types
3 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
US, Asia
FR, DE, UK, CA
Wins out of 5
4
1
GPU Availability
Jarvis Labs
RTX 6000 AdaA100 40GBA100 80GBH100
VRAM: 48–80 GB · Locations: US, Asia
OVH GPU
T4V100A100
VRAM: 16–80 GB · Locations: FR, DE, UK, CA
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
OVH GPU
Pros
- Strong EU data sovereignty guarantees
- Established cloud provider with SLA
- Multi-region EU availability
- Good for government/regulated industries
Cons
- Older GPU lineup (V100 still prominent)
- More complex setup vs RunPod
- Higher prices than Hetzner for GPU
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 €0.54/h)
- Higher user satisfaction matters (4.3 vs 3.9)
- You want more GPU variety (4 vs 3 types)
Choose OVH GPU if…
- You need GPU compute for EU projects
- You need GPU compute for Inference
- You need GPU compute for Moderate training
- You need GPU compute for GDPR requirements