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

GPU cloud comparison · 2026

S

Salad vs Vast.ai

V

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

S
Salad
Distributed inference cloud — RTX 3090/4090 from $0.03/h
from $0.03/h
★★★★☆ 3.9 / 5 (423 reviews)
Try Salad →
VS
Overall Winner
V
Vast.ai
Cheapest GPU cloud — peer-to-peer marketplace for budget training
from $0.10/h
★★★★☆ 4.1 / 5 (2,108 reviews)
Try Vast.ai →

Head-to-Head Comparison

S Salad
V Vast.ai
Starting Price Lower hourly rate
from $0.03/h
from $0.10/h
Overall Rating User rating
3.9 / 5
4.1 / 5
GPU Types Variety
4 types
5 types
Max VRAM Largest available
24 GB
80 GB
Locations Regions covered
Global (distributed)
US, EU, APAC, Global
Wins out of 5
1
4

GPU Availability

S Salad
RTX 3090RTX 4090RTX 3080RTX 3070

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

V Vast.ai
RTX 3090RTX 4090A100H1003060

VRAM: 8–80 GB · Locations: US, EU, APAC, Global

Pros & Cons

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
V Vast.ai
Pros
  • Absolute cheapest GPU compute available
  • Widest GPU variety including consumer cards
  • Good for fault-tolerant batch jobs
  • Marketplace competition drives prices down
Cons
  • Hosts can take instances offline anytime
  • Variable reliability across providers
  • Less suitable for time-sensitive inference

Which Should You Choose?

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 $0.10/h)
V Choose Vast.ai if…
  • You need GPU compute for Batch training
  • You need GPU compute for Budget experiments
  • You need GPU compute for Stable Diffusion
  • You need GPU compute for Data processing
  • Higher user satisfaction matters (4.1 vs 3.9)
  • You want more GPU variety (5 vs 4 types)