Seeweb vs Cirrascale: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Seeweb and Cirrascale. Updated July 2026.
Provider Overview
Strengths & Best For
Seeweb is an Italian cloud provider offering A100, H100, and L40S GPU instances with Italian data residency and EU data sovereignty for enterprise AI and HPC workloads. On-demand and reserved billing options are available, making it a reliable European GPU cloud for Italian and Southern European enterprises with strict data localization requirements. A strong choice for HPC teams and regulated industries that need high-performance GPU compute within Italian infrastructure.
- Italian data residency
- EU sovereignty
- A100/H100 availability
- Enterprise SLAs
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
Seeweb — specialist provider
Seeweb is an Italian cloud provider offering A100, H100, and L40S GPU instances with Italian data residency and EU data sovereignty for enterprise AI and HPC workloads. On-demand and reserved billing options are available, making it a reliable European GPU cloud for Italian and Southern European enterprises with strict data localization requirements. A strong choice for HPC teams and regulated industries that need high-performance GPU compute within Italian infrastructure.
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
Seeweb 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
Seeweb is best suited for: Italian/EU enterprise teams, GDPR-sensitive workloads, HPC workloads. Its key strengths are italian data residency, eu sovereignty, a100/h100 availability. 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
Seeweb offers Standard → Enterprise support across 1 region (EU-South). Cirrascale offers Standard → Enterprise support across 1 region (US). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: Seeweb vs Cirrascale
Seeweb was founded in 1998 and is headquartered in Frosinone, Italy. Cirrascale was founded in 2009 and is headquartered in San Diego, CA. Seeweb has 11 years more operational history than Cirrascale, 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.