Corelink vs Thalassa Cloud: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Corelink and Thalassa Cloud. Updated July 2026.
Provider Overview
Strengths & Best For
Corelink is a GPU cloud offering H100, H200, A100, and L40S instances with flexible billing, spot availability, and competitive on-demand pricing for AI training and inference workloads. The self-serve platform makes it easy to provision GPU capacity for LLM fine-tuning, distributed training, and model deployment without enterprise contracts. A straightforward on-demand GPU cloud for startups and research teams that need H100 access at competitive rates.
- Competitive H100 pricing
- Spot availability
- Flexible billing
- Wide GPU selection
Thalassa Cloud is a European GPU cloud offering H100 and A100 instances from Mediterranean data centers with competitive on-demand pricing and GDPR-compliant EU data residency for AI training and inference workloads. Flexible billing and European infrastructure make it accessible for Southern European AI teams that need local GPU compute without routing data through Northern European or US providers. A cost-effective European GPU cloud for teams in Greece and the broader Mediterranean region.
- European presence
- Competitive pricing
- GDPR compliant
Live GPU Pricing
Region Coverage
Popular Comparisons
Corelink — specialist provider
Corelink is a GPU cloud offering H100, H200, A100, and L40S instances with flexible billing, spot availability, and competitive on-demand pricing for AI training and inference workloads. The self-serve platform makes it easy to provision GPU capacity for LLM fine-tuning, distributed training, and model deployment without enterprise contracts. A straightforward on-demand GPU cloud for startups and research teams that need H100 access at competitive rates.
Thalassa Cloud — specialist provider
Thalassa Cloud is a European GPU cloud offering H100 and A100 instances from Mediterranean data centers with competitive on-demand pricing and GDPR-compliant EU data residency for AI training and inference workloads. Flexible billing and European infrastructure make it accessible for Southern European AI teams that need local GPU compute without routing data through Northern European or US providers. A cost-effective European GPU cloud for teams in Greece and the broader Mediterranean region.
Billing model comparison
Corelink uses a On-demand, Spot billing model with a minimum commitment of None. Thalassa Cloud 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
Corelink is best suited for: Cost-sensitive AI training, Spot-tolerant workloads, Startups needing H100 access. Its key strengths are competitive h100 pricing, spot availability, flexible billing. Thalassa Cloud is best suited for: European AI teams, Cost-sensitive workloads, GDPR compliance. Its key strengths are european presence, competitive pricing, 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
Corelink offers Community → Standard support across 1 region (US). Thalassa Cloud offers Standard support across 2 regions (GR, EU). Thalassa Cloud's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Corelink vs Thalassa Cloud
Corelink was founded in 2023 and is headquartered in United States. Thalassa Cloud was founded in 2022 and is headquartered in Greece. Thalassa Cloud has 1 years more operational history than Corelink, 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.