Bluelobster AI vs CloudGPU: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Bluelobster AI and CloudGPU. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Bluelobster AI is a US-based GPU cloud offering dedicated NVIDIA RTX GPU instances with free backups, per-VM firewall, BYOK Windows support, and a browser-based console included on every VM — no hidden fees. On-demand billing with no minimum commitment makes it accessible for developers and small teams running AI training or inference workloads. A value-focused GPU cloud for teams that want managed simplicity and transparent pricing.
- Free backups on every VM
- Per-VM firewall
- BYOK Windows
- Simple browser console
- Smaller provider — limited scale vs hyperscalers
- Fewer regions than major cloud providers
- Less mature ecosystem and fewer integrations
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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.
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Key differences
Bluelobster AI
Dedicated NVIDIA RTX GPUs with free backups
CloudGPU
On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates