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

GPU cloud comparison · 2026

Google Cloud GPU vs Salad

S

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

Overall Winner
Google Cloud GPU
TPU + GPU powerhouse — best ecosystem for TensorFlow
from $2.48/h
★★★★☆ 4.3 / 5 (2,891 reviews)
Try Google Cloud GPU →
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

Google Cloud GPU
S Salad
Starting Price Lower hourly rate
from $2.48/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
US, EU, APAC, Global
Global (distributed)
Wins out of 5
4
1

GPU Availability

Google Cloud GPU
A100 40GBA100 80GBH100T4V100

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

Google Cloud GPU
Pros
  • Best TPU availability for TF workloads
  • Deep Vertex AI + BigQuery integration
  • Global infrastructure and reliability
  • Preemptible instances cut costs significantly
Cons
  • Expensive on-demand pricing
  • Complex billing — easy to overspend
  • Steep learning curve for GCP newcomers
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 Google Cloud GPU if…
  • You need GPU compute for TensorFlow workloads
  • You need GPU compute for TPU training
  • You need GPU compute for Enterprise AI
  • You need GPU compute for Vertex AI pipelines
  • 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 $2.48/h)