Gcore vs AtmosCompute: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Gcore and AtmosCompute. 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
AtmosCompute provides on-demand H100, A100, and L40S GPU instances for AI and ML workloads with flexible pay-as-you-go billing and straightforward pricing that makes it easy to estimate costs for training and inference jobs. Fast provisioning and a simple interface lower the barrier to entry for startups and small teams exploring GPU compute for the first time. A no-frills on-demand GPU cloud for teams that want quick access to professional NVIDIA hardware without enterprise complexity.
- Simple pricing
- Flexible billing
- Fast provisioning
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.
AtmosCompute — specialist provider
AtmosCompute provides on-demand H100, A100, and L40S GPU instances for AI and ML workloads with flexible pay-as-you-go billing and straightforward pricing that makes it easy to estimate costs for training and inference jobs. Fast provisioning and a simple interface lower the barrier to entry for startups and small teams exploring GPU compute for the first time. A no-frills on-demand GPU cloud for teams that want quick access to professional NVIDIA hardware without enterprise complexity.
Billing model comparison
Gcore uses a On-demand, Reserved billing model with a minimum commitment of None. AtmosCompute uses Pay-as-you-go 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. AtmosCompute is best suited for: Startups, Short training runs, Inference workloads. Its key strengths are simple pricing, flexible billing, fast provisioning. 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). AtmosCompute offers Standard 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 AtmosCompute
Gcore was founded in 2014 and is headquartered in Luxembourg. AtmosCompute was founded in 2023 and is headquartered in United States. Gcore has 9 years more operational history than AtmosCompute, 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.