Scaleway vs Cirrascale: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Scaleway and Cirrascale. Updated July 2026.
Provider Overview
Strengths & Best For
Scaleway is a French GPU cloud offering H100 and A100 instances with strong GDPR compliance and EU data sovereignty, backed by managed Kubernetes and a full developer-friendly cloud platform. On-demand and reserved billing options are available across EU data centers, making it one of the most complete European GPU cloud options for teams that need both AI compute and broader cloud services. A natural fit for EU-based AI teams that want competitive European GPU pricing without vendor lock-in.
- EU sovereignty
- GDPR compliant
- Competitive EU pricing
- Managed Kubernetes
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
Live GPU Pricing
Region Coverage
Popular Comparisons
Scaleway — specialist provider
Scaleway is a French GPU cloud offering H100 and A100 instances with strong GDPR compliance and EU data sovereignty, backed by managed Kubernetes and a full developer-friendly cloud platform. On-demand and reserved billing options are available across EU data centers, making it one of the most complete European GPU cloud options for teams that need both AI compute and broader cloud services. A natural fit for EU-based AI teams that want competitive European GPU pricing without vendor lock-in.
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.
Billing model comparison
Scaleway uses a On-demand, Reserved billing model with a minimum commitment of None. Cirrascale uses On-demand, Reserved 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
Scaleway is best suited for: EU-based AI teams, GDPR-sensitive workloads, Full-stack cloud users. Its key strengths are eu sovereignty, gdpr compliant, competitive eu pricing. 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. 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
Scaleway offers Basic → Enterprise support across 2 regions (EU-West, EU-Central). Cirrascale offers Standard → Enterprise support across 1 region (US). Scaleway's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Scaleway vs Cirrascale
Scaleway was founded in 2015 and is headquartered in Paris, France. Cirrascale was founded in 2009 and is headquartered in San Diego, CA. Cirrascale has 6 years more operational history than Scaleway, 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.