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Gonka vs Vultr: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Specialist
Specialist
Founded
2023
2014
Headquarters
Europe
Matawan, NJ
Billing model
On-demand
On-demand (hourly)
Min commitment
None
None
Support tier
Standard
Basic → Enterprise
Regions
1 regions
5 regions

Strengths & Best For

Gonka

Gonka is a European GPU cloud offering H100 and A100 instances with competitive on-demand pricing and flexible billing options for AI training and inference workloads across EU data centers. Straightforward pricing and European data center presence make it accessible for EU-based teams that need GDPR-compliant GPU compute without enterprise contracts. A no-frills European on-demand GPU cloud for AI teams that want simple, transparent pricing and EU data residency.

Strengths
  • Competitive pricing
  • Flexible billing
  • European presence
Weaknesses
  • Very small provider — limited scale
  • No enterprise SLAs
  • Limited documentation and support resources
Best For
AI trainingInference workloadsEuropean teams
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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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Key differences

Gonka

GPU cloud compute

Vultr

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

AttributeGonkaVultr
Provider typespecialistspecialist
Billing modelOn-demandOn-demand (hourly)
Min commitmentNoneNone
Regions1 (EU)5 (US, EU, APAC, +2)
Support tierStandardBasic → Enterprise
Best forAI training, Inference workloadsGlobal deployment of AI workloads, Simple inference and training workloads
Founded / HQ2023 · Europe2014 · Matawan, NJ