Atlas Cloud vs Database Mart: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Atlas Cloud and Database Mart. Updated July 2026.
Provider Overview
Strengths & Best For
Atlas Cloud is an Iceland-based GPU cloud offering H100 and A100 instances powered by 100% renewable geothermal energy, combining high-performance AI compute with a genuinely carbon-neutral infrastructure footprint. Competitive on-demand pricing and low-latency connectivity to Europe make it an attractive sustainable GPU cloud for EU-based AI training and inference workloads. A top choice for sustainability-focused teams that want green GPU compute without sacrificing performance.
- 100% renewable energy
- Competitive H100 pricing
- Low latency to Europe
Database Mart provides dedicated bare-metal H100, A100, and RTX GPU servers alongside cloud instances for AI, ML, and HPC workloads, with no virtualization overhead for maximum hardware performance. Monthly and on-demand billing options are available, making it suitable for both long-running training jobs and shorter inference workloads that need dedicated GPU hardware. A practical bare-metal GPU option for teams that need consistent, dedicated performance without shared-tenancy concerns.
- Dedicated hardware
- Flexible configurations
- Competitive pricing
Live GPU Pricing
Region Coverage
Popular Comparisons
Atlas Cloud — specialist provider
Atlas Cloud is an Iceland-based GPU cloud offering H100 and A100 instances powered by 100% renewable geothermal energy, combining high-performance AI compute with a genuinely carbon-neutral infrastructure footprint. Competitive on-demand pricing and low-latency connectivity to Europe make it an attractive sustainable GPU cloud for EU-based AI training and inference workloads. A top choice for sustainability-focused teams that want green GPU compute without sacrificing performance.
Database Mart — bare-metal provider
Database Mart provides dedicated bare-metal H100, A100, and RTX GPU servers alongside cloud instances for AI, ML, and HPC workloads, with no virtualization overhead for maximum hardware performance. Monthly and on-demand billing options are available, making it suitable for both long-running training jobs and shorter inference workloads that need dedicated GPU hardware. A practical bare-metal GPU option for teams that need consistent, dedicated performance without shared-tenancy concerns.
Billing model comparison
Atlas Cloud uses a On-demand billing model with a minimum commitment of None. Database Mart uses Monthly / 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
Atlas Cloud is best suited for: Sustainability-focused teams, European AI workloads, Training runs. Its key strengths are 100% renewable energy, competitive h100 pricing, low latency to europe. Database Mart is best suited for: Dedicated GPU workloads, Long-running training, HPC. Its key strengths are dedicated hardware, flexible configurations, competitive pricing. 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
Atlas Cloud offers Standard support across 1 region (IS). Database Mart offers Standard support across 1 region (US). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: Atlas Cloud vs Database Mart
Atlas Cloud was founded in 2022 and is headquartered in Reykjavik, Iceland. Database Mart was founded in 2015 and is headquartered in United States. Database Mart has 7 years more operational history than Atlas Cloud, 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.