Sesterce vs White Fiber: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Sesterce and White Fiber. Updated July 2026.
Provider Overview
Strengths & Best For
Sesterce is a French GPU cloud offering one of the widest GPU selections in Europe — 26 GPU types including A30, A100, and H100 — across 11 EU regions, making it the broadest European GPU cloud for teams with diverse hardware requirements. On-demand and reserved billing options are available with competitive pricing for AI training, LLM fine-tuning, and inference workloads. A top choice for EU AI teams that need GPU variety and GDPR-compliant European data residency.
- 26 GPU types
- 11 regions
- EU-based infrastructure
- Competitive A30/A100 pricing
White Fiber is a European GPU cloud offering H100 and A100 instances with EU data sovereignty, GDPR compliance, and competitive on-demand pricing for AI training and inference workloads across European data centers. Straightforward billing and European infrastructure make it accessible for EU-based AI teams that need GDPR-compliant GPU compute without routing data outside European borders. A practical European on-demand GPU cloud for teams that prioritize data sovereignty and transparent pricing.
- European presence
- Data sovereignty
- Competitive pricing
Live GPU Pricing
Region Coverage
Popular Comparisons
Sesterce — specialist provider
Sesterce is a French GPU cloud offering one of the widest GPU selections in Europe — 26 GPU types including A30, A100, and H100 — across 11 EU regions, making it the broadest European GPU cloud for teams with diverse hardware requirements. On-demand and reserved billing options are available with competitive pricing for AI training, LLM fine-tuning, and inference workloads. A top choice for EU AI teams that need GPU variety and GDPR-compliant European data residency.
White Fiber — specialist provider
White Fiber is a European GPU cloud offering H100 and A100 instances with EU data sovereignty, GDPR compliance, and competitive on-demand pricing for AI training and inference workloads across European data centers. Straightforward billing and European infrastructure make it accessible for EU-based AI teams that need GDPR-compliant GPU compute without routing data outside European borders. A practical European on-demand GPU cloud for teams that prioritize data sovereignty and transparent pricing.
Billing model comparison
Sesterce uses a On-demand, Reserved billing model with a minimum commitment of None. White Fiber 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
Sesterce is best suited for: EU AI teams, Wide GPU variety needs, Cost-sensitive European workloads. Its key strengths are 26 gpu types, 11 regions, eu-based infrastructure. White Fiber is best suited for: European AI teams, GDPR workloads, Cost-sensitive projects. Its key strengths are european presence, data sovereignty, competitive pricing. 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
Sesterce offers Standard → Enterprise support across 4 regions (EU-West, EU-Central, US and 1 more). White Fiber offers Standard support across 1 region (EU). Sesterce's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Sesterce vs White Fiber
Sesterce was founded in 2018 and is headquartered in Marseille, France. White Fiber was founded in 2022 and is headquartered in Europe. Sesterce has 4 years more operational history than White Fiber, 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.