Oracle Cloud vs Database Mart: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Oracle Cloud and Database Mart. Updated July 2026.
Provider Overview
Strengths & Best For
Oracle Cloud Infrastructure offers BM.GPU.H100.8 bare-metal nodes and VM.GPU.A10 instances with some of the most aggressive enterprise GPU pricing among hyperscalers. Bare-metal H100 configurations deliver full hardware performance with no virtualization overhead, ideal for large-scale AI training and HPC. Strong Oracle Database integration makes OCI a compelling choice for enterprises running AI alongside data-intensive workloads.
- Competitive pricing
- Bare-metal GPU options
- Oracle DB integration
- Free tier
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
Oracle Cloud — hyperscaler provider
Oracle Cloud Infrastructure offers BM.GPU.H100.8 bare-metal nodes and VM.GPU.A10 instances with some of the most aggressive enterprise GPU pricing among hyperscalers. Bare-metal H100 configurations deliver full hardware performance with no virtualization overhead, ideal for large-scale AI training and HPC. Strong Oracle Database integration makes OCI a compelling choice for enterprises running AI alongside data-intensive workloads.
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
Oracle Cloud uses a Pay-as-you-go, Annual Flex billing model with a minimum commitment of None (pay-as-you-go). 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
Oracle Cloud is best suited for: Oracle database workloads, Enterprise ML, Cost-sensitive enterprise. Its key strengths are competitive pricing, bare-metal gpu options, oracle db integration. 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
Oracle Cloud offers Basic → Premier support across 4 regions (us-ashburn-1, us-phoenix-1, eu-frankfurt-1 and 1 more). Database Mart offers Standard support across 1 region (US). Oracle Cloud's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Oracle Cloud vs Database Mart
Oracle Cloud was founded in 2016 and is headquartered in Austin, TX. Database Mart was founded in 2015 and is headquartered in United States. Database Mart has 1 years more operational history than Oracle 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.