GPU cloud comparison · 2026
Hyperstack vs TensorDock
Hyperstack wins on 4 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
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
Hyperstack
TensorDock
Starting Price Lower hourly rate
from $0.11/h
from $0.21/h
Overall Rating User rating
4.3 / 5
4.2 / 5
GPU Types Variety
5 types
5 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
UK, EU
US, EU, Global
Wins out of 5
4
1
GPU Availability
Hyperstack
RTX A6000A100 80GBH100L40L40S
VRAM: 48–80 GB · Locations: UK, EU
TensorDock
RTX 4090RTX 3090A100 80GBH100L40S
VRAM: 24–80 GB · Locations: US, EU, Global
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
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 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 $0.21/h)
- Higher user satisfaction matters (4.3 vs 4.2)
- You want more GPU variety (5 vs 5 types)
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