GPU cloud comparison · 2026
OVH GPU vs TensorDock
TensorDock wins on 3 of 5 key metrics — but the right choice depends on your workload.
OVH GPU
European GPU cloud with NVIDIA T4 and V100 options
from €0.54/h
★★★★☆ 3.9 / 5 (567 reviews)
Try OVH GPU →VS
Overall Winner
TensorDock
Marketplace GPU cloud — RTX 4090 from $0.21/h, H100 from $1.99/h
from $0.21/h
★★★★☆ 4.2 / 5 (167 reviews)
Try TensorDock →Head-to-Head Comparison
OVH GPU
TensorDock
Starting Price Lower hourly rate
from €0.54/h
from $0.21/h
Overall Rating User rating
3.9 / 5
4.2 / 5
GPU Types Variety
3 types
5 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
FR, DE, UK, CA
US, EU, Global
Wins out of 5
2
3
GPU Availability
OVH GPU
T4V100A100
VRAM: 16–80 GB · Locations: FR, DE, UK, CA
TensorDock
RTX 4090RTX 3090A100 80GBH100L40S
VRAM: 24–80 GB · Locations: US, EU, Global
Pros & Cons
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
TensorDock
Pros
- Among the cheapest H100 access in 2026
- Wide host network = better availability
- Per-second billing for short jobs
- Free egress saves on data-heavy workloads
Cons
- Reliability varies by host
- No managed cluster orchestration
- Support is community-led
Which Should You Choose?
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
Choose TensorDock if…
- You need GPU compute for Budget GPU rentals
- You need GPU compute for Stable Diffusion fine-tuning
- You need GPU compute for Short-burst training
- You need GPU compute for Indie ML developers
- Lower price is your top priority (from $0.21/h vs from €0.54/h)
- Higher user satisfaction matters (4.2 vs 3.9)
- You want more GPU variety (5 vs 3 types)