Independent comparison Updated April 2026 20 GPU providers tested Real hourly pricing

GPU cloud comparison · 2026

AWS GPU (EC2) vs Hyperstack

H

AWS GPU (EC2) wins on 3 of 5 key metrics — but the right choice depends on your workload.

Overall Winner
AWS GPU (EC2)
Largest GPU fleet worldwide — P4/P5 instances for enterprise
from $3.06/h
★★★★☆ 4.2 / 5 (4,123 reviews)
Try AWS GPU (EC2) →
VS
H
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 →

Head-to-Head Comparison

AWS GPU (EC2)
H Hyperstack
Starting Price Lower hourly rate
from $3.06/h
from $0.11/h
Overall Rating User rating
4.2 / 5
4.3 / 5
GPU Types Variety
5 types
5 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
US, EU, APAC, Global
UK, EU
Wins out of 5
3
2

GPU Availability

AWS GPU (EC2)
A100H100V100T4Inferentia2

VRAM: 16–80 GB · Locations: US, EU, APAC, Global

H Hyperstack
RTX A6000A100 80GBH100L40L40S

VRAM: 48–80 GB · Locations: UK, EU

Pros & Cons

AWS GPU (EC2)
Pros
  • Most comprehensive ML toolchain (SageMaker)
  • Spot instances for massive cost savings
  • Best compliance certifications globally
  • Inferentia for cost-effective inference
Cons
  • Most expensive on-demand GPU pricing
  • Complex pricing model
  • Not beginner-friendly for pure GPU rental
H 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

Which Should You Choose?

Choose AWS GPU (EC2) if…
  • You need GPU compute for Enterprise MLOps
  • You need GPU compute for SageMaker pipelines
  • You need GPU compute for Production inference
  • You need GPU compute for Regulated industries
  • You want more GPU variety (5 vs 5 types)
H 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 $3.06/h)
  • Higher user satisfaction matters (4.3 vs 4.2)