Yotta vs White Fiber: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Yotta and White Fiber. Updated July 2026.
Provider Overview
Strengths & Best For
Yotta Infrastructure is an Indian hyperscale data center and cloud provider offering H100 and A100 GPU instances with Indian data residency and enterprise-grade infrastructure for AI training and HPC workloads. On-demand and reserved billing options are available, making it one of the most capable domestic GPU cloud options for Indian enterprises with data sovereignty requirements. A strong choice for APAC-based organizations needing high-performance GPU compute within India.
- Indian data residency
- Hyperscale infrastructure
- H100 availability
- Enterprise SLAs
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
Yotta — specialist provider
Yotta Infrastructure is an Indian hyperscale data center and cloud provider offering H100 and A100 GPU instances with Indian data residency and enterprise-grade infrastructure for AI training and HPC workloads. On-demand and reserved billing options are available, making it one of the most capable domestic GPU cloud options for Indian enterprises with data sovereignty requirements. A strong choice for APAC-based organizations needing high-performance GPU compute within India.
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
Yotta 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
Yotta is best suited for: India-based AI teams, APAC enterprise workloads, Regional data residency. Its key strengths are indian data residency, hyperscale infrastructure, h100 availability. 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
Yotta offers Standard → Enterprise support across 2 regions (IN-West, IN-South). White Fiber offers Standard support across 1 region (EU). Yotta's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Yotta vs White Fiber
Yotta was founded in 2019 and is headquartered in Mumbai, India. White Fiber was founded in 2022 and is headquartered in Europe. Yotta has 3 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.