Database Mart vs Northflank: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Database Mart and Northflank. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
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
- Bare-metal only — requires more infrastructure management
- Limited ML tooling vs managed cloud services
- Smaller ecosystem and fewer integrations
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Northflank is a developer-focused PaaS platform offering GPU compute (L4, A100 40GB, A100 80GB, H100 80GB, RTX PRO 6000) alongside managed containers, CI/CD pipelines, databases, and cron jobs — all in one platform. GPU instances are available on-demand in US and EU regions. The platform is designed for teams that want to run GPU workloads as part of a broader application stack without managing raw cloud infrastructure. A strong choice for ML engineers who want GPU compute tightly integrated with deployment, scheduling, and application services.
- GPU compute integrated with PaaS — containers, CI/CD, databases in one platform
- H100 80GB and RTX PRO 6000 availability
- US and EU regions
- Developer-friendly platform with managed services
- On-demand billing with no minimum commitment
- PaaS model — less control than raw GPU clouds
- Higher per-GPU cost than bare infrastructure
- Smaller GPU catalog than specialist GPU clouds
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Live GPU Pricing
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Key differences
Database Mart
Dedicated GPU servers
Northflank
PaaS GPU compute — L4, A100, H100, RTX PRO 6000 with managed containers and CI/CD