BreezeHost vs CloudGPU: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for BreezeHost and CloudGPU. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
BreezeHost provides affordable RTX and A-series GPU hosting for AI developers and researchers from European data centers, with accessible on-demand pricing that makes it easy to experiment with model training and inference without a large upfront commitment. A budget-friendly GPU hosting option for developers and students in Europe taking their first steps with GPU compute.
- Affordable RTX and A-series pricing
- European data center presence
- Easy setup and onboarding
- Very small GPU catalog — no H100 or A100
- Limited to European regions
- No enterprise SLAs or uptime guarantees
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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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Live GPU Pricing
Green = lower price. On-demand hourly rates. Updated every 15 minutes.
Region Coverage
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Provider pages
Key differences
BreezeHost
Affordable RTX and A-series GPU hosting — European data centers
CloudGPU
On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates