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

GPU cloud comparison · 2026

Paperspace vs RunPod

R

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

Paperspace
Gradient notebooks + GPU VMs — great for ML teams
from $0.45/h
★★★★☆ 4.3 / 5 (1,456 reviews)
Try Paperspace →
VS
Overall Winner
R
RunPod
Best value GPU cloud — huge selection, community + secure cloud
from $0.20/h
★★★★★ 4.6 / 5 (3,241 reviews)
Try RunPod →

Head-to-Head Comparison

Paperspace
R RunPod
Starting Price Lower hourly rate
from $0.45/h
from $0.20/h
Overall Rating User rating
4.3 / 5
4.6 / 5
GPU Types Variety
4 types
5 types
Max VRAM Largest available
80 GB
80 GB
Locations Regions covered
US, EU
US, EU, CA
Wins out of 5
1
4

GPU Availability

Paperspace
A100A6000RTX 4000V100

VRAM: 8–80 GB · Locations: US, EU

R RunPod
RTX 3090RTX 4090A100 80GBH100A40

VRAM: 24–80 GB · Locations: US, EU, CA

Pros & Cons

Paperspace
Pros
  • Best notebook experience of any cloud GPU
  • Team collaboration features built-in
  • Free tier with limited GPU hours
  • Good documentation and tutorials
Cons
  • Pricier than RunPod for raw compute
  • Limited GPU types vs competitors
  • Gradient platform has occasional issues
R RunPod
Pros
  • Cheapest community GPUs from $0.20/h
  • Massive GPU variety including H100
  • Serverless endpoints for inference APIs
  • Great UI and pod management
Cons
  • Community cloud less reliable than dedicated
  • Storage costs add up over time
  • Support can be slow on free tier

Which Should You Choose?

Choose Paperspace if…
  • You need GPU compute for Notebooks
  • You need GPU compute for ML teams
  • You need GPU compute for Prototyping
  • You need GPU compute for Education
R Choose RunPod if…
  • You need GPU compute for Fine-tuning LLMs
  • You need GPU compute for Stable Diffusion
  • You need GPU compute for Training
  • You need GPU compute for Inference
  • Lower price is your top priority (from $0.20/h vs from $0.45/h)
  • Higher user satisfaction matters (4.6 vs 4.3)
  • You want more GPU variety (5 vs 4 types)