Atlas Cloud vs CloudGPU: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Atlas Cloud and CloudGPU. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Atlas Cloud is an Iceland-based GPU cloud offering H100 and A100 instances powered by 100% renewable geothermal energy, combining high-performance AI compute with a genuinely carbon-neutral infrastructure footprint. Iceland's naturally cold climate enables free air cooling, reducing PUE to near 1.0 and cutting energy costs. Competitive on-demand pricing and low-latency connectivity to Europe make it an attractive sustainable GPU cloud for EU-based AI training and inference workloads.
- 100% geothermal renewable energy — genuinely carbon-neutral
- Near-1.0 PUE via Iceland's natural cold-air cooling
- Competitive H100 and A100 pricing
- Low latency to European regions
- Single-region (Iceland) — no US or APAC coverage
- Smaller provider — limited cluster scale
- Less mature ML tooling vs CoreWeave or Lambda
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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
Popular Comparisons
Provider pages
Key differences
Atlas Cloud
Icelandic green GPU cloud — H100 and A100 on 100% geothermal renewable energy
CloudGPU
On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates