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GcorevsVultr

Gcore vs Vultr: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Gcore
Vultr
Provider type
Specialist
Specialist
Founded
2014
2014
Headquarters
Luxembourg
Matawan, NJ
Billing model
On-demand, Reserved
On-demand (hourly)
Min commitment
None
None
Support tier
Standard → Enterprise
Basic → Enterprise
Regions
5 regions
5 regions

Strengths & Best For

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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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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Region Coverage

Gcore — 5 regions
EUUSAPACMELATAM
Vultr — 5 regions
USEUAPACAUSA

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Provider pages

Gcore pricing and specs Vultr pricing and specs

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Key differences

Gcore

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

Vultr

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

AttributeGcoreVultr
Provider typespecialistspecialist
Billing modelOn-demand, ReservedOn-demand (hourly)
Min commitmentNoneNone
Regions5 (EU, US, APAC, +2)5 (US, EU, APAC, +2)
Support tierStandard → EnterpriseBasic → Enterprise
Best forGlobal inference deployment needing low latency, Latency-sensitive AI applications serving multiple continentsGlobal deployment of AI workloads, Simple inference and training workloads
Founded / HQ2014 · Luxembourg2014 · Matawan, NJ