Cirrascale vs Leafcloud: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cirrascale and Leafcloud. 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
Leafcloud is a Dutch sustainable cloud provider that reuses server waste heat to warm buildings, offering GPU compute with 100% renewable energy and GDPR-compliant EU data residency for environmentally conscious AI teams. On-demand billing and a strong sustainability mission make it one of the most genuinely green GPU cloud options in Europe. A top choice for Dutch and EU-based organizations that want to minimize the environmental impact of their AI training and inference workloads.
- Waste heat reuse
- Sustainable compute
- GDPR compliant
- Dutch 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.
Leafcloud — specialist provider
Leafcloud is a Dutch sustainable cloud provider that reuses server waste heat to warm buildings, offering GPU compute with 100% renewable energy and GDPR-compliant EU data residency for environmentally conscious AI teams. On-demand billing and a strong sustainability mission make it one of the most genuinely green GPU cloud options in Europe. A top choice for Dutch and EU-based organizations that want to minimize the environmental impact of their AI training and inference workloads.
Billing model comparison
Cirrascale uses a On-demand, Reserved billing model with a minimum commitment of None. Leafcloud 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. Leafcloud is best suited for: Sustainability-focused teams, European AI workloads, GDPR-sensitive data. Its key strengths are waste heat reuse, sustainable compute, gdpr compliant. 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). Leafcloud offers Standard support across 2 regions (NL, EU). Leafcloud'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 Leafcloud
Cirrascale was founded in 2009 and is headquartered in San Diego, CA. Leafcloud was founded in 2019 and is headquartered in Amsterdam, Netherlands. Cirrascale has 10 years more operational history than Leafcloud, 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.