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Vultr vs DataVolt: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Vultr and DataVolt. Updated July 2026.

Provider Overview

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

Strengths & Best For

Vultr

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

Strengths
  • 32 global locations
  • Simple pricing
  • Hourly billing
  • Good API
Best For
Global deploymentSimple workloadsDeveloper-friendly teams
Visit Vultr
DataVolt

DataVolt is a European GPU cloud offering H100, H200, A100, and L40S instances with competitive on-demand and spot GPU rental pricing, full EU data residency, and straightforward access for AI and ML workloads. Spot availability makes it a cost-effective option for interruptible LLM training and fine-tuning jobs, while on-demand instances suit production inference. A practical European GPU cloud for teams that need GDPR-compliant infrastructure with flexible billing.

Strengths
  • Competitive H100/H200 pricing
  • Spot availability
  • EU data residency
  • Simple pricing
Best For
EU AI teamsCost-sensitive H100 workloadsSpot-tolerant training
Visit DataVolt

Live GPU Pricing

No live pricing data available for these providers right now. View all live GPU prices →

Region Coverage

Popular Comparisons

Vultrspecialist provider

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

DataVoltspecialist provider

DataVolt is a European GPU cloud offering H100, H200, A100, and L40S instances with competitive on-demand and spot GPU rental pricing, full EU data residency, and straightforward access for AI and ML workloads. Spot availability makes it a cost-effective option for interruptible LLM training and fine-tuning jobs, while on-demand instances suit production inference. A practical European GPU cloud for teams that need GDPR-compliant infrastructure with flexible billing.

Billing model comparison

Vultr uses a On-demand (hourly) billing model with a minimum commitment of None. DataVolt uses On-demand, Spot billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.

Which workloads each provider suits best

Vultr is best suited for: Global deployment, Simple workloads, Developer-friendly teams. Its key strengths are 32 global locations, simple pricing, hourly billing. DataVolt is best suited for: EU AI teams, Cost-sensitive H100 workloads, Spot-tolerant training. Its key strengths are competitive h100/h200 pricing, spot availability, eu data residency. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.

Support tiers and region coverage

Vultr offers Basic → Enterprise support across 5 regions (US, EU, APAC and 2 more). DataVolt offers Community → Standard support across 1 region (EU). Vultr's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.

Provider background: Vultr vs DataVolt

Vultr was founded in 2014 and is headquartered in Matawan, NJ. DataVolt was founded in 2023 and is headquartered in Europe. Vultr has 9 years more operational history than DataVolt, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.