Cirrascale vs CloudGPU: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cirrascale and CloudGPU. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
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
No reviews yet — add yours ↗
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
No reviews yet — add yours ↗
Live GPU Pricing
Green = lower price. On-demand hourly rates. Updated every 15 minutes.
Region Coverage
Popular Comparisons
Provider pages
Key differences
Cirrascale
Enterprise AI infrastructure with H100 and H200 clusters
CloudGPU
On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates