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CloudGPU vs Paperspace: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for CloudGPU and Paperspace. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Specialist
Founded
2014
Headquarters
New York, NY
Billing model
On-demand (per-minute)
On-demand, Monthly, Reserved (3yr)
Min commitment
None
None
Support tier
Community
Community → Growth
Regions
1 regions
3 regions

Strengths & Best For

CloudGPU

CloudGPU rents on-demand GPUs billed per minute, with root SSH access and templates for Ollama, JupyterLab, ComfyUI and LLaMA-Factory. Prices come from CloudGPU's public price feed.

Strengths
  • Per-minute billing — pay only for what you use
  • Root SSH access on every instance
  • Ready-to-use templates: Ollama, JupyterLab, ComfyUI, LLaMA-Factory
  • Wide consumer and data-center GPU selection
Weaknesses
  • Smaller provider — limited scale vs hyperscalers
  • No enterprise SLAs or compliance certifications
  • Region information not published per instance
Best For
Developers wanting per-minute billing with no commitmentTeams running Ollama or ComfyUI workloadsCost-sensitive inference and fine-tuning
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Paperspace

Paperspace (now part of DigitalOcean) offers A100, H100, A6000, A5000, A4000, and RTX 5000 GPU instances alongside Gradient, its managed ML platform with Jupyter notebooks, experiment tracking, and one-click model deployment. Monthly dedicated options available. Gradient plans include a Free tier through paid tiers. A beginner-friendly on-demand GPU cloud with a polished notebook-centric experience, now integrated into the DigitalOcean ecosystem.

Strengths
  • Gradient managed ML platform with Jupyter notebooks
  • Simple UI and beginner-friendly onboarding
  • H100 on-demand availability
  • Free tier available for beginners
  • DigitalOcean ecosystem integration
Weaknesses
  • Acquired by DigitalOcean — Gradient product direction uncertain
  • Limited GPU catalog vs specialist providers
  • Notebook-centric UX not ideal for production pipelines
Best For
ML beginners and studentsNotebook-based workflowsSmall teams wanting managed ML platformTeams already on DigitalOcean
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Paperspace Rating

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Live GPU Pricing

GPU Model
RTX 4090
$0.39
$3.89
A100 40GB
$0.79
$7.90
A100 80GB
$1.59
$10.90

Green = lower price. On-demand hourly rates. Updated every 15 minutes.

Region Coverage

Popular Comparisons

Key differences

CloudGPU

On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates

Paperspace

ML platform with Gradient notebooks and GPU instances — now part of DigitalOcean

AttributeCloudGPUPaperspace
Provider typespecialistspecialist
Billing modelOn-demand (per-minute)On-demand, Monthly, Reserved (3yr)
Min commitmentNoneNone
Regions1 (Global)3 (US-East, US-West, EU-West)
Support tierCommunityCommunity → Growth
Best forDevelopers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloadsML beginners and students, Notebook-based workflows
Founded / HQ · 2014 · New York, NY