Provider Overview
Strengths & Best For
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
Civo is a developer-focused cloud platform known for fast Kubernetes cluster provisioning and H100 and A100 GPU instances with simple on-demand pricing and a strong developer experience across UK, EU, and US regions. The combination of managed Kubernetes and GPU compute makes it easy to build and deploy AI inference workloads and model serving APIs without complex infrastructure setup. A practical GPU cloud for developers who want Kubernetes-native AI deployment with minimal operational overhead.
- Fast Kubernetes
- Simple pricing
- Developer-friendly
- UK/EU presence
Live GPU Pricing
Region Coverage
Popular Comparisons
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.
Civo — specialist provider
Civo is a developer-focused cloud platform known for fast Kubernetes cluster provisioning and H100 and A100 GPU instances with simple on-demand pricing and a strong developer experience across UK, EU, and US regions. The combination of managed Kubernetes and GPU compute makes it easy to build and deploy AI inference workloads and model serving APIs without complex infrastructure setup. A practical GPU cloud for developers who want Kubernetes-native AI deployment with minimal operational overhead.
Billing model comparison
Gcore uses a On-demand, Reserved billing model with a minimum commitment of None. Civo uses On-demand 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
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. Civo is best suited for: Kubernetes workloads, European teams, Developer projects. Its key strengths are fast kubernetes, simple pricing, developer-friendly. 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
Gcore offers Standard → Enterprise support across 5 regions (EU, US, APAC and 2 more). Civo offers Standard support across 3 regions (UK, EU, US). Gcore's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Gcore vs Civo
Gcore was founded in 2014 and is headquartered in Luxembourg. Civo was founded in 2018 and is headquartered in London, UK. Gcore has 4 years more operational history than Civo, 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.