Cirrascale vs Cleura: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cirrascale and Cleura. 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
Cleura is a European sovereign cloud provider offering GPU compute with full GDPR compliance, EU data sovereignty, and a sustainability focus across Swedish and EU data centers. On-demand billing and a commitment to renewable energy make it a responsible choice for European enterprises running AI workloads with strict data residency and ESG requirements. A strong option for EU organizations that need sovereign cloud infrastructure with GPU capabilities and verifiable sustainability credentials.
- GDPR compliance
- Data sovereignty
- Sustainable infrastructure
- 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.
Cleura — specialist provider
Cleura is a European sovereign cloud provider offering GPU compute with full GDPR compliance, EU data sovereignty, and a sustainability focus across Swedish and EU data centers. On-demand billing and a commitment to renewable energy make it a responsible choice for European enterprises running AI workloads with strict data residency and ESG requirements. A strong option for EU organizations that need sovereign cloud infrastructure with GPU capabilities and verifiable sustainability credentials.
Billing model comparison
Cirrascale uses a On-demand, Reserved billing model with a minimum commitment of None. Cleura 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. Cleura is best suited for: European enterprises, GDPR-sensitive workloads, Sustainable AI. Its key strengths are gdpr compliance, data sovereignty, sustainable infrastructure. 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). Cleura offers Standard support across 2 regions (SE, EU). Cleura's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Cirrascale vs Cleura
Cirrascale was founded in 2009 and is headquartered in San Diego, CA. Cleura was founded in 2020 and is headquartered in Stockholm, Sweden. Cirrascale has 11 years more operational history than Cleura, 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.