GPU cloud comparison · 2026
Azure GPU (NCv3/NDA) vs Crusoe
Crusoe wins on 4 of 5 key metrics — but the right choice depends on your workload.
Azure GPU (NCv3/NDA)
Microsoft's GPU cloud — best for Azure ML and enterprise AI
from $2.94/h
★★★★☆ 4.1 / 5 (1,934 reviews)
Try Azure GPU (NCv3/NDA) →VS
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 →Head-to-Head Comparison
Azure GPU (NCv3/NDA)
Crusoe
Starting Price Lower hourly rate
from $2.94/h
from $0.40/h
Overall Rating User rating
4.1 / 5
4.4 / 5
GPU Types Variety
4 types
6 types
Max VRAM Largest available
80 GB
192 GB
Locations Regions covered
US, EU, APAC, Global
US, Iceland
Wins out of 5
1
4
GPU Availability
Azure GPU (NCv3/NDA)
A100H100V100T4
VRAM: 16–80 GB · Locations: US, EU, APAC, Global
Crusoe
H100H200B200A100 80GBL40SMI300X
VRAM: 48–192 GB · Locations: US, Iceland
Pros & Cons
Azure GPU (NCv3/NDA)
Pros
- Deep OpenAI / Azure OpenAI integration
- Best choice for Microsoft-stack enterprises
- Strong compliance and government certifications
- Azure ML Studio for no-code ML
Cons
- High on-demand pricing
- Complex portal and billing
- Vendor lock-in with Azure ecosystem
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
Which Should You Choose?
Choose Azure GPU (NCv3/NDA) if…
- You need GPU compute for Azure ML pipelines
- You need GPU compute for Microsoft stack AI
- You need GPU compute for Enterprise compliance
- You need GPU compute for OpenAI API users
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 $2.94/h)
- Higher user satisfaction matters (4.4 vs 4.1)
- You want more GPU variety (6 vs 4 types)