Cirrascale vs BreezeHost: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cirrascale and BreezeHost. Updated July 2026.
Provider 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
BreezeHost provides affordable RTX and A-series GPU hosting for AI developers and researchers, with accessible on-demand pricing that makes it easy to experiment with model training and inference without a large upfront commitment. European data center presence and a straightforward setup process lower the barrier to entry for small-scale AI workloads and experimentation. A budget-friendly GPU hosting option for developers and students taking their first steps with GPU compute.
- Affordable pricing
- Easy setup
- European presence
Live GPU Pricing
Region Coverage
Popular Comparisons
Cirrascale — specialist provider
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.
BreezeHost — specialist provider
BreezeHost provides affordable RTX and A-series GPU hosting for AI developers and researchers, with accessible on-demand pricing that makes it easy to experiment with model training and inference without a large upfront commitment. European data center presence and a straightforward setup process lower the barrier to entry for small-scale AI workloads and experimentation. A budget-friendly GPU hosting option for developers and students taking their first steps with GPU compute.
Billing model comparison
Cirrascale uses a On-demand, Reserved billing model with a minimum commitment of None. BreezeHost uses On-demand billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
Cirrascale is best suited for: Large-scale AI training, Enterprise LLM workloads, Dedicated cluster users. Its key strengths are h100/h200 cluster focus, infiniband networking, dedicated deployments. BreezeHost is best suited for: Budget-conscious teams, Experimentation, Small-scale inference. Its key strengths are affordable pricing, easy setup, european presence. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
Cirrascale offers Standard → Enterprise support across 1 region (US). BreezeHost offers Standard support across 1 region (EU). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: Cirrascale vs BreezeHost
Cirrascale was founded in 2009 and is headquartered in San Diego, CA. BreezeHost was founded in 2022 and is headquartered in Europe. Cirrascale has 13 years more operational history than BreezeHost, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.