GPU cloud comparison · 2026
Crusoe vs Nebius
Crusoe wins on 3 of 5 key metrics — but the right choice depends on your workload.
Overall Winner
Crusoe
Climate-aligned GPU cloud — H100, H200, B200 and MI300X on green energy
from $0.40/h
★★★★☆ 4.4 / 5 (412 reviews)
Try Crusoe →VS
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
Crusoe
Nebius
Starting Price Lower hourly rate
from $0.40/h
from $1.55/h
Overall Rating User rating
4.4 / 5
4.5 / 5
GPU Types Variety
6 types
5 types
Max VRAM Largest available
192 GB
192 GB
Locations Regions covered
US, Iceland
NL, FI, EU
Wins out of 5
3
2
GPU Availability
Crusoe
H100H200B200A100 80GBL40SMI300X
VRAM: 48–192 GB · Locations: US, Iceland
Nebius
H100H200B200L40SA100 80GB
VRAM: 48–192 GB · Locations: NL, FI, EU
Pros & Cons
Crusoe
Pros
- Among the cheapest H200 access — from $2.10/h
- B200 availability while most clouds wait-list
- InfiniBand 3.2 Tb interconnects for serious multi-node
- Climate-positive operations (uses flared methane)
Cons
- Smaller GPU variety than RunPod
- Region selection limited (mostly US + Iceland)
- Sales-led for large deployments
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 Crusoe if…
- You need GPU compute for LLM training at scale
- You need GPU compute for Multi-node H100/H200 jobs
- You need GPU compute for Sustainable AI workloads
- You need GPU compute for AMD MI300X clusters
- Lower price is your top priority (from $0.40/h vs from $1.55/h)
- You want more GPU variety (6 vs 5 types)
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 4.4)