GPU cloud comparison · 2026
OVH GPU vs Together AI
Together AI 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
Together AI
Inference-first GPU cloud — H100/H200 with optimized serving stacks
from $1.49/h
★★★★☆ 4.4 / 5 (521 reviews)
Try Together AI →Head-to-Head Comparison
OVH GPU
Together AI
Starting Price Lower hourly rate
from €0.54/h
from $1.49/h
Overall Rating User rating
3.9 / 5
4.4 / 5
GPU Types Variety
3 types
4 types
Max VRAM Largest available
80 GB
141 GB
Locations Regions covered
FR, DE, UK, CA
US, EU
Wins out of 5
2
3
GPU Availability
OVH GPU
T4V100A100
VRAM: 16–80 GB · Locations: FR, DE, UK, CA
Together AI
H100H200A100 80GBL40S
VRAM: 48–141 GB · Locations: US, EU
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
Together AI
Pros
- Best-in-class inference performance
- Excellent open-source model coverage
- Strong fine-tuning workflow
- Token-based pricing for variable load
Cons
- Less GPU variety than RunPod
- Focus is inference, not raw training
- Custom interconnects not exposed
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
- Lower price is your top priority (from €0.54/h vs from $1.49/h)
Choose Together AI if…
- You need GPU compute for High-throughput inference
- You need GPU compute for Open-source LLM serving
- You need GPU compute for Llama / Mistral fine-tuning
- You need GPU compute for Production AI APIs
- Higher user satisfaction matters (4.4 vs 3.9)
- You want more GPU variety (4 vs 3 types)