CloudGPU vs Database Mart: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for CloudGPU and Database Mart. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
CloudGPU rents on-demand GPUs billed per minute, with root SSH access and templates for Ollama, JupyterLab, ComfyUI and LLaMA-Factory. Prices come from CloudGPU's public price feed.
- Per-minute billing — pay only for what you use
- Root SSH access on every instance
- Ready-to-use templates: Ollama, JupyterLab, ComfyUI, LLaMA-Factory
- Wide consumer and data-center GPU selection
- Smaller provider — limited scale vs hyperscalers
- No enterprise SLAs or compliance certifications
- Region information not published per instance
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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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Live GPU Pricing
Green = lower price. On-demand hourly rates. Updated every 15 minutes.
Region Coverage
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Key differences
CloudGPU
On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates
Database Mart
Dedicated GPU servers