GPU cloud comparison · 2026
Paperspace vs TensorDock
TensorDock wins on 3 of 5 key metrics — but the right choice depends on your workload.
Paperspace
Gradient notebooks + GPU VMs — great for ML teams
from $0.45/h
★★★★☆ 4.3 / 5 (1,456 reviews)
Try Paperspace →VS
Overall Winner
TensorDock
Marketplace GPU cloud — RTX 4090 from $0.21/h, H100 from $1.99/h
from $0.21/h
★★★★☆ 4.2 / 5 (167 reviews)
Try TensorDock →Head-to-Head Comparison
Paperspace
TensorDock
Starting Price Lower hourly rate
from $0.45/h
from $0.21/h
Overall Rating User rating
4.3 / 5
4.2 / 5
GPU Types Variety
4 types
5 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
US, EU
US, EU, Global
Wins out of 5
2
3
GPU Availability
Paperspace
A100A6000RTX 4000V100
VRAM: 8–80 GB · Locations: US, EU
TensorDock
RTX 4090RTX 3090A100 80GBH100L40S
VRAM: 24–80 GB · Locations: US, EU, Global
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
TensorDock
Pros
- Among the cheapest H100 access in 2026
- Wide host network = better availability
- Per-second billing for short jobs
- Free egress saves on data-heavy workloads
Cons
- Reliability varies by host
- No managed cluster orchestration
- Support is community-led
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 4.2)
Choose TensorDock if…
- You need GPU compute for Budget GPU rentals
- You need GPU compute for Stable Diffusion fine-tuning
- You need GPU compute for Short-burst training
- You need GPU compute for Indie ML developers
- Lower price is your top priority (from $0.21/h vs from $0.45/h)
- You want more GPU variety (5 vs 4 types)