Cerebrium vs Database Mart: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cerebrium and Database Mart. Updated July 2026.
Provider Overview
Strengths & Best For
Cerebrium is a serverless ML infrastructure platform that deploys H100, A100, and T4 GPU workloads in seconds using custom containers, enabling real-time LLM inference and fine-tuned model serving without managing any infrastructure. Per-second billing and fast cold starts make it highly cost-efficient for bursty AI inference APIs and model deployment pipelines. A top choice for ML teams that want to ship production inference endpoints quickly with minimal DevOps overhead.
- Serverless deployment
- Fast cold starts
- Custom containers
- Simple pricing
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
Cerebrium — specialist provider
Cerebrium is a serverless ML infrastructure platform that deploys H100, A100, and T4 GPU workloads in seconds using custom containers, enabling real-time LLM inference and fine-tuned model serving without managing any infrastructure. Per-second billing and fast cold starts make it highly cost-efficient for bursty AI inference APIs and model deployment pipelines. A top choice for ML teams that want to ship production inference endpoints quickly with minimal DevOps overhead.
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
Cerebrium uses a Per-second usage 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
Cerebrium is best suited for: Real-time inference APIs, Model deployment, Serverless AI. Its key strengths are serverless deployment, fast cold starts, custom containers. 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
Cerebrium offers Standard support across 2 regions (US, EU). Database Mart offers Standard support across 1 region (US). Cerebrium's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Cerebrium vs Database Mart
Cerebrium was founded in 2022 and is headquartered in Cape Town, South Africa. Database Mart was founded in 2015 and is headquartered in United States. Database Mart has 7 years more operational history than Cerebrium, 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.