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CloudGPU vs Gcore: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Specialist
Specialist
Founded
2014
Headquarters
Luxembourg
Billing model
On-demand (per-minute)
On-demand, Reserved
Min commitment
None
None
Support tier
Community
Standard → 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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CloudGPU Rating

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Gcore

Gcore is a global GPU cloud and CDN provider offering H100, A100, L40S, and L4 instances across 40+ points of presence worldwide, with ultra-low latency networking and built-in DDoS protection for edge AI inference workloads. On-demand and reserved billing options are available, making it a versatile GPU cloud for teams that need both compute and network performance at a global scale. A top choice for latency-sensitive AI inference applications that need to serve users across multiple continents.

Strengths
  • 40+ global PoPs with ultra-low latency networking
  • Built-in DDoS protection
  • H100, A100, L40S, L4 availability
  • CDN + GPU compute in one provider
Weaknesses
  • Smaller provider — limited scale vs hyperscalers
  • Less mature ML tooling vs specialist AI clouds
  • Support quality varies by region
Best For
Global inference deployment needing low latencyLatency-sensitive AI applications serving multiple continentsTeams needing edge compute with DDoS protection
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Gcore Rating

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Live GPU Pricing

GPU Model
Gcore /hr
RTX 4090
$0.39
$0.65
A100 80GB
$1.59
$2.08

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

Gcore

Global GPU cloud and CDN — H100, A100, L40S across 40+ PoPs worldwide

AttributeCloudGPUGcore
Provider typespecialistspecialist
Billing modelOn-demand (per-minute)On-demand, Reserved
Min commitmentNoneNone
Regions1 (Global)5 (EU, US, APAC, +2)
Support tierCommunityStandard → Enterprise
Best forDevelopers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloadsGlobal inference deployment needing low latency, Latency-sensitive AI applications serving multiple continents
Founded / HQ · 2014 · Luxembourg