Atlas Cloud vs Cirrascale: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Atlas Cloud and Cirrascale. 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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Cirrascale Cloud Services provides enterprise-grade AI infrastructure featuring H100 NVL, H100 SXM5, and H200 GPU clusters with InfiniBand networking for high-throughput distributed LLM training and large-scale AI workloads. Dedicated cluster deployments and reserved configurations give enterprises full control over their GPU infrastructure without shared-tenancy concerns. A specialist provider for AI labs and enterprises that need dedicated H100 or H200 cluster capacity at scale.
- H100/H200 cluster focus
- InfiniBand networking
- Dedicated deployments
- Enterprise SLAs
- Bare-metal focused — requires more infrastructure management
- Limited self-service tooling
- Smaller ecosystem vs cloud providers
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Key differences
Atlas Cloud
Icelandic green GPU cloud — H100 and A100 on 100% geothermal renewable energy
Cirrascale
Enterprise AI infrastructure with H100 and H200 clusters