GPU cloud comparison · 2026
Hyperstack vs Paperspace
Hyperstack wins on 5 of 5 key metrics — but the right choice depends on your workload.
Overall Winner
Hyperstack
Global GPU cloud specialist — H100, A100 80GB and L40 from $0.11/h
from $0.11/h
★★★★☆ 4.3 / 5 (198 reviews)
Try Hyperstack →VS
Paperspace
Gradient notebooks + GPU VMs — great for ML teams
from $0.45/h
★★★★☆ 4.3 / 5 (1,456 reviews)
Try Paperspace →Head-to-Head Comparison
Hyperstack
Paperspace
Starting Price Lower hourly rate
from $0.11/h
from $0.45/h
Overall Rating User rating
4.3 / 5
4.3 / 5
GPU Types Variety
5 types
4 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
UK, EU
US, EU
Wins out of 5
5
0
GPU Availability
Hyperstack
RTX A6000A100 80GBH100L40L40S
VRAM: 48–80 GB · Locations: UK, EU
Paperspace
A100A6000RTX 4000V100
VRAM: 8–80 GB · Locations: US, EU
Pros & Cons
Hyperstack
Pros
- Outstanding entry pricing for A6000
- Full networking stack (VPC, firewall, NAT)
- UK / EU regions for European latency
- Reservation discount up to 75%
Cons
- No B200 / H200 yet (April 2026)
- Smaller marketing footprint than RunPod
- Limited template marketplace
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
Which Should You Choose?
Choose Hyperstack if…
- You need GPU compute for Budget training jobs
- You need GPU compute for Stable Diffusion at scale
- You need GPU compute for VPC-isolated workloads
- You need GPU compute for EU-friendly compute
- Lower price is your top priority (from $0.11/h vs from $0.45/h)
- Higher user satisfaction matters (4.3 vs 4.3)
- You want more GPU variety (5 vs 4 types)
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