Provider Overview
Strengths & Best For
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.
- 32 global locations
- Simple pricing
- Hourly billing
- Good API
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.
- 40+ global PoPs
- Ultra-low latency
- DDoS protection
- Edge AI inference
Live GPU Pricing
Region Coverage
Popular Comparisons
Vultr — specialist 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.
Gcore — specialist provider
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.
Billing model comparison
Vultr uses a On-demand (hourly) billing model with a minimum commitment of None. Gcore uses On-demand, Reserved 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. Gcore is best suited for: Global inference deployment, Latency-sensitive AI apps, Teams needing edge compute. Its key strengths are 40+ global pops, ultra-low latency, ddos protection. 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). Gcore offers Standard → Enterprise support across 5 regions (EU, US, APAC and 2 more). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: Vultr vs Gcore
Vultr was founded in 2014 and is headquartered in Matawan, NJ. Gcore was founded in 2014 and is headquartered in Luxembourg. Both providers were founded in the same year — evaluate them on current pricing, region coverage, and support tier rather than operational history. 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.