Gcore vs QuantaCloud: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Gcore and QuantaCloud. Updated July 2026.
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
QuantaCloud provides bare-metal A100, H100, H200, and B300 GPU clusters with InfiniBand interconnect and no virtualization overhead, purpose-built for large-scale LLM training and multi-node distributed AI workloads. Reserved and cluster configurations are available for organizations that need dedicated GPU infrastructure with consistent performance for long-running training runs. A specialist bare-metal GPU cloud for AI labs and enterprises that need maximum cluster performance for frontier model training.
- Bare-metal performance
- InfiniBand networking
- Large cluster configs
- H200 and B300 availability
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.
QuantaCloud — bare-metal provider
QuantaCloud provides bare-metal A100, H100, H200, and B300 GPU clusters with InfiniBand interconnect and no virtualization overhead, purpose-built for large-scale LLM training and multi-node distributed AI workloads. Reserved and cluster configurations are available for organizations that need dedicated GPU infrastructure with consistent performance for long-running training runs. A specialist bare-metal GPU cloud for AI labs and enterprises that need maximum cluster performance for frontier model training.
Billing model comparison
Gcore uses a On-demand, Reserved billing model with a minimum commitment of None. QuantaCloud uses Reserved / On-demand billing with a Varies by config 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. QuantaCloud is best suited for: Large-scale LLM training, Multi-node clusters, Reserved GPU capacity. Its key strengths are bare-metal performance, infiniband networking, large cluster configs. 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). QuantaCloud offers Standard → Enterprise support across 1 region (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 QuantaCloud
Gcore was founded in 2014 and is headquartered in Luxembourg. QuantaCloud was founded in 2021 and is headquartered in United States. Gcore has 7 years more operational history than QuantaCloud, 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.