Independent comparison Updated April 2026 20 GPU providers tested Real hourly pricing

GPU cloud comparison · 2026

C

Crusoe vs Jarvis Labs

J

Crusoe wins on 4 of 5 key metrics — but the right choice depends on your workload.

Overall Winner
C
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
J
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 →

Head-to-Head Comparison

C Crusoe
J Jarvis Labs
Starting Price Lower hourly rate
from $0.40/h
from $0.39/h
Overall Rating User rating
4.4 / 5
4.3 / 5
GPU Types Variety
6 types
4 types
Max VRAM Largest available
192 GB
80 GB
Locations Regions covered
US, Iceland
US, Asia
Wins out of 5
4
1

GPU Availability

C Crusoe
H100H200B200A100 80GBL40SMI300X

VRAM: 48–192 GB · Locations: US, Iceland

J Jarvis Labs
RTX 6000 AdaA100 40GBA100 80GBH100

VRAM: 48–80 GB · Locations: US, Asia

Pros & Cons

C 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
J 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

Which Should You Choose?

C 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
  • Higher user satisfaction matters (4.4 vs 4.3)
  • You want more GPU variety (6 vs 4 types)
J 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 $0.40/h)