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CloudGPUvsVultr

CloudGPU vs Vultr: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
CloudGPU
Vultr
Provider type
Specialist
Specialist
Founded
2014
Headquarters
Matawan, NJ
Billing model
On-demand (per-minute)
On-demand (hourly)
Min commitment
None
None
Support tier
Community
Basic → Enterprise
Regions
1 regions
5 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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Vultr

Vultr offers H100, A100, L40S, RTX 6000 Ada, and RTX 4000 Ada GPU instances across 32 global locations with simple hourly billing and no long-term commitment required. A developer-friendly GPU cloud with a clean API, straightforward pricing, and broad geographic coverage for teams needing AI inference or training capacity close to their users. Vultr Cloud GPU instances include dedicated VRAM, NVMe storage, and generous transfer allowances. A solid choice for global deployment of AI workloads without the complexity of hyperscaler pricing models.

Strengths
  • 32 global locations — wide geographic coverage among specialist GPU clouds
  • Simple hourly billing — no long-term commitment
  • H100, A100, L40S, RTX 6000/4000 Ada in catalog
  • Clean API and developer-friendly onboarding
  • Generous transfer allowances included
Weaknesses
  • Smaller GPU catalog than specialist AI clouds
  • Less ML-focused tooling vs CoreWeave or Lambda
  • Limited spot/preemptible GPU options
Best For
Global deployment of AI workloadsSimple inference and training workloadsDeveloper-friendly teams wanting simple billingTeams needing GPU capacity in emerging regions
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Live GPU Pricing

GPU Model
CloudGPU /hr
Vultr /hr
RTX 4090
$0.39
$0.78
A100 40GB
$0.79
$7.30
A100 80GB
$1.59
$10.80

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

Region Coverage

CloudGPU — 1 regions
Global
Vultr — 5 regions
USEUAPACAUSA

Announced / Quote-Only GPUs

VultrAMD MI455XContact SalesCapacity available soon
Reserve capacity

These GPUs are announced but do not have a public per-GPU hourly rate. They are not included in the pricing table above.

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Provider pages

CloudGPU pricing and specs Vultr pricing and specs

Key differences

CloudGPU

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

Vultr

H100, A100, L40S, RTX 4000/6000 Ada — simple hourly billing across 32 global locations

AttributeCloudGPUVultr
Provider typespecialistspecialist
Billing modelOn-demand (per-minute)On-demand (hourly)
Min commitmentNoneNone
Regions1 (Global)5 (US, EU, APAC, +2)
Support tierCommunityBasic → Enterprise
Best forDevelopers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloadsGlobal deployment of AI workloads, Simple inference and training workloads
Founded / HQ · 2014 · Matawan, NJ