GPU cloud comparison · 2026
Paperspace vs Salad
Paperspace wins on 4 of 5 key metrics — but the right choice depends on your workload.
Overall Winner
Paperspace
Gradient notebooks + GPU VMs — great for ML teams
from $0.45/h
★★★★☆ 4.3 / 5 (1,456 reviews)
Try Paperspace →VS
Salad
Distributed inference cloud — RTX 3090/4090 from $0.03/h
from $0.03/h
★★★★☆ 3.9 / 5 (423 reviews)
Try Salad →Head-to-Head Comparison
Paperspace
Salad
Starting Price Lower hourly rate
from $0.45/h
from $0.03/h
Overall Rating User rating
4.3 / 5
3.9 / 5
GPU Types Variety
4 types
4 types
Max VRAM Largest available
80 GB
24 GB
Locations Regions covered
US, EU
Global (distributed)
Wins out of 5
4
1
GPU Availability
Paperspace
A100A6000RTX 4000V100
VRAM: 8–80 GB · Locations: US, EU
Salad
RTX 3090RTX 4090RTX 3080RTX 3070
VRAM: 8–24 GB · Locations: Global (distributed)
Pros & Cons
Paperspace
Pros
- Best notebook experience of any cloud GPU
- Team collaboration features built-in
- Free tier with limited GPU hours
- Good documentation and tutorials
Cons
- Pricier than RunPod for raw compute
- Limited GPU types vs competitors
- Gradient platform has occasional issues
Salad
Pros
- Absurdly cheap — RTX 3090 from $0.03/h
- Massive horizontal scale (1000+ nodes)
- Auto-fleet management for inference
- No data-egress charges
Cons
- Distributed = no persistent storage
- Not suitable for training
- Latency varies by node geography
Which Should You Choose?
Choose Paperspace if…
- You need GPU compute for Notebooks
- You need GPU compute for ML teams
- You need GPU compute for Prototyping
- You need GPU compute for Education
- Higher user satisfaction matters (4.3 vs 3.9)
- You want more GPU variety (4 vs 4 types)
Choose Salad if…
- You need GPU compute for Stateless inference
- You need GPU compute for Stable Diffusion bulk generation
- You need GPU compute for Embedding generation
- You need GPU compute for Cost-sensitive batch jobs
- Lower price is your top priority (from $0.03/h vs from $0.45/h)