GPU cloud comparison · 2026
Jarvis Labs vs Nebius
Nebius wins on 4 of 5 key metrics — but the right choice depends on your workload.
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
Overall Winner
Nebius
EU-sovereign AI cloud from the Netherlands — full GDPR compliance, H100 to B200
from $1.55/h
★★★★★ 4.5 / 5 (287 reviews)
Try Nebius →Head-to-Head Comparison
Jarvis Labs
Nebius
Starting Price Lower hourly rate
from $0.39/h
from $1.55/h
Overall Rating User rating
4.3 / 5
4.5 / 5
GPU Types Variety
4 types
5 types
Max VRAM Largest available
80 GB
192 GB
Locations Regions covered
US, Asia
NL, FI, EU
Wins out of 5
1
4
GPU Availability
Jarvis Labs
RTX 6000 AdaA100 40GBA100 80GBH100
VRAM: 48–80 GB · Locations: US, Asia
Nebius
H100H200B200L40SA100 80GB
VRAM: 48–192 GB · Locations: NL, FI, 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
Nebius
Pros
- Strong EU data residency — perfect for German / EU enterprise
- Modern hardware including B200 SXM
- Managed cluster orchestration included
- Strong customer support in European hours
Cons
- More expensive on-demand than RunPod / Vast.ai
- EU-only regions (no US datacenters)
- Smaller global presence than hyperscalers
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 $1.55/h)
Choose Nebius if…
- You need GPU compute for EU-sovereign AI workloads
- You need GPU compute for GDPR-bound enterprises
- You need GPU compute for Frontier model training
- You need GPU compute for European startups
- Higher user satisfaction matters (4.5 vs 4.3)
- You want more GPU variety (5 vs 4 types)