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

GPU cloud comparison · 2026

H

Hyperstack vs Salad

S

Hyperstack wins on 4 of 5 key metrics — but the right choice depends on your workload.

Overall Winner
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 →
VS
S
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

H Hyperstack
S Salad
Starting Price Lower hourly rate
from $0.11/h
from $0.03/h
Overall Rating User rating
4.3 / 5
3.9 / 5
GPU Types Variety
5 types
4 types
Max VRAM Largest available
80 GB
24 GB
Locations Regions covered
UK, EU
Global (distributed)
Wins out of 5
4
1

GPU Availability

H Hyperstack
RTX A6000A100 80GBH100L40L40S

VRAM: 48–80 GB · Locations: UK, EU

S Salad
RTX 3090RTX 4090RTX 3080RTX 3070

VRAM: 8–24 GB · Locations: Global (distributed)

Pros & Cons

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
S 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?

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
  • Higher user satisfaction matters (4.3 vs 3.9)
  • You want more GPU variety (5 vs 4 types)
S 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 $0.11/h)