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

GPU cloud comparison · 2026

AWS GPU (EC2) vs Salad

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AWS GPU (EC2) wins on 4 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
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

AWS GPU (EC2)
S Salad
Starting Price Lower hourly rate
from $3.06/h
from $0.03/h
Overall Rating User rating
4.2 / 5
3.9 / 5
GPU Types Variety
5 types
4 types
Max VRAM Largest available
80 GB
24 GB
Locations Regions covered
US, EU, APAC, Global
Global (distributed)
Wins out of 5
4
1

GPU Availability

AWS GPU (EC2)
A100H100V100T4Inferentia2

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

S Salad
RTX 3090RTX 4090RTX 3080RTX 3070

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

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
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?

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
  • Higher user satisfaction matters (4.2 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 $3.06/h)