Independent comparison Updated April 2026 10 GPU providers tested Real hourly pricing

GPU cloud comparison · 2026

λ

Lambda Labs vs Vast.ai

V

Vast.ai wins on 3 of 5 key metrics — but the right choice depends on your workload.

λ
Lambda Labs
On-demand H100 clusters — developer-favourite for serious ML
from $1.10/h
★★★★★ 4.5 / 5 (1,872 reviews)
Try Lambda Labs →
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

λ Lambda Labs
V Vast.ai
Starting Price Lower hourly rate
from $1.10/h
from $0.10/h
Overall Rating User rating
4.5 / 5
4.1 / 5
GPU Types Variety
4 types
5 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
US, AU
US, EU, APAC, Global
Wins out of 5
2
3

GPU Availability

λ Lambda Labs
A100 40GBA100 80GBH100A10

VRAM: 24–80 GB · Locations: US, AU

V Vast.ai
RTX 3090RTX 4090A100H1003060

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

Pros & Cons

λ Lambda Labs
Pros
  • Reliable on-demand H100 availability
  • No complex setup — SSH ready in seconds
  • Lambda Stack saves setup time
  • Competitive pricing vs hyperscalers
Cons
  • Limited GPU types vs RunPod
  • Fewer EU datacenter options
  • No serverless endpoints
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?

λ Choose Lambda Labs if…
  • You need GPU compute for LLM training
  • You need GPU compute for Research
  • You need GPU compute for Fine-tuning
  • You need GPU compute for Multi-GPU jobs
  • Higher user satisfaction matters (4.5 vs 4.1)
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
  • Lower price is your top priority (from $0.10/h vs from $1.10/h)
  • You want more GPU variety (5 vs 4 types)