GPU cloud comparison · 2026
Crusoe vs Lambda Labs
Crusoe wins on 4 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
Lambda Labs
On-demand H100 clusters — developer-favourite for serious ML
from $1.10/h
★★★★★ 4.5 / 5 (1,872 reviews)
Try Lambda Labs →Head-to-Head Comparison
Crusoe
Lambda Labs
Starting Price Lower hourly rate
from $0.40/h
from $1.10/h
Overall Rating User rating
4.4 / 5
4.5 / 5
GPU Types Variety
6 types
4 types
Max VRAM Largest available
192 GB
80 GB
Locations Regions covered
US, Iceland
US, AU
Wins out of 5
4
1
GPU Availability
Crusoe
H100H200B200A100 80GBL40SMI300X
VRAM: 48–192 GB · Locations: US, Iceland
Lambda Labs
A100 40GBA100 80GBH100A10
VRAM: 24–80 GB · Locations: US, AU
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
Lambda Labs
Pros
- Reliable on-demand H100 availability
- No complex setup — SSH ready in seconds
- Lambda Stack saves setup time
- Competitive pricing vs hyperscalers
Cons
- Limited GPU types vs RunPod
- Fewer EU datacenter options
- No serverless endpoints
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 $1.10/h)
- You want more GPU variety (6 vs 4 types)
Choose Lambda Labs if…
- You need GPU compute for LLM training
- You need GPU compute for Research
- You need GPU compute for Fine-tuning
- You need GPU compute for Multi-GPU jobs
- Higher user satisfaction matters (4.5 vs 4.4)