GPU cloud comparison · 2026
Jarvis Labs vs Vast.ai
Vast.ai wins on 3 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
Vast.ai
Cheapest GPU cloud — peer-to-peer marketplace for budget training
from $0.10/h
★★★★☆ 4.1 / 5 (2,108 reviews)
Try Vast.ai →Head-to-Head Comparison
Jarvis Labs
Vast.ai
Starting Price Lower hourly rate
from $0.39/h
from $0.10/h
Overall Rating User rating
4.3 / 5
4.1 / 5
GPU Types Variety
4 types
5 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
US, Asia
US, EU, APAC, Global
Wins out of 5
2
3
GPU Availability
Jarvis Labs
RTX 6000 AdaA100 40GBA100 80GBH100
VRAM: 48–80 GB · Locations: US, Asia
Vast.ai
RTX 3090RTX 4090A100H1003060
VRAM: 8–80 GB · Locations: US, EU, APAC, Global
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
Vast.ai
Pros
- Absolute cheapest GPU compute available
- Widest GPU variety including consumer cards
- Good for fault-tolerant batch jobs
- Marketplace competition drives prices down
Cons
- Hosts can take instances offline anytime
- Variable reliability across providers
- Less suitable for time-sensitive inference
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
- Higher user satisfaction matters (4.3 vs 4.1)
Choose Vast.ai if…
- You need GPU compute for Batch training
- You need GPU compute for Budget experiments
- You need GPU compute for Stable Diffusion
- You need GPU compute for Data processing
- Lower price is your top priority (from $0.10/h vs from $0.39/h)
- You want more GPU variety (5 vs 4 types)