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

GPU cloud comparison · 2026

Azure GPU (NCv3/NDA) vs Salad

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Azure GPU (NCv3/NDA) wins on 4 of 5 key metrics — but the right choice depends on your workload.

Overall Winner
Azure GPU (NCv3/NDA)
Microsoft's GPU cloud — best for Azure ML and enterprise AI
from $2.94/h
★★★★☆ 4.1 / 5 (1,934 reviews)
Try Azure GPU (NCv3/NDA) →
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

Azure GPU (NCv3/NDA)
S Salad
Starting Price Lower hourly rate
from $2.94/h
from $0.03/h
Overall Rating User rating
4.1 / 5
3.9 / 5
GPU Types Variety
4 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

Azure GPU (NCv3/NDA)
A100H100V100T4

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

Azure GPU (NCv3/NDA)
Pros
  • Deep OpenAI / Azure OpenAI integration
  • Best choice for Microsoft-stack enterprises
  • Strong compliance and government certifications
  • Azure ML Studio for no-code ML
Cons
  • High on-demand pricing
  • Complex portal and billing
  • Vendor lock-in with Azure ecosystem
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 Azure GPU (NCv3/NDA) if…
  • You need GPU compute for Azure ML pipelines
  • You need GPU compute for Microsoft stack AI
  • You need GPU compute for Enterprise compliance
  • You need GPU compute for OpenAI API users
  • Higher user satisfaction matters (4.1 vs 3.9)
  • You want more GPU variety (4 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 $2.94/h)