Thalassa Cloud vs UpCloud: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Thalassa Cloud and UpCloud. Updated July 2026.
Provider Overview
Strengths & Best For
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
UpCloud is a Finnish cloud provider known for its MaxIOPS storage and reliable infrastructure, now offering H100 and A100 GPU instances for AI and ML workloads across Finnish, EU, US, and APAC data centers. On-demand billing and a strong uptime track record make it a dependable choice for European teams that need GPU compute paired with high-performance storage for data-intensive AI training pipelines. A solid European GPU cloud for teams that value reliability and storage performance alongside GPU compute.
- MaxIOPS storage
- Reliable uptime
- European presence
- Competitive pricing
Live GPU Pricing
Region Coverage
Popular Comparisons
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.
UpCloud — specialist provider
UpCloud is a Finnish cloud provider known for its MaxIOPS storage and reliable infrastructure, now offering H100 and A100 GPU instances for AI and ML workloads across Finnish, EU, US, and APAC data centers. On-demand billing and a strong uptime track record make it a dependable choice for European teams that need GPU compute paired with high-performance storage for data-intensive AI training pipelines. A solid European GPU cloud for teams that value reliability and storage performance alongside GPU compute.
Billing model comparison
Thalassa Cloud uses a On-demand billing model with a minimum commitment of None. UpCloud 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
Thalassa Cloud is best suited for: European AI teams, Cost-sensitive workloads, GDPR compliance. Its key strengths are european presence, competitive pricing, gdpr compliant. UpCloud is best suited for: European teams, Storage-intensive AI, Reliable inference. Its key strengths are maxiops storage, reliable uptime, european presence. 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
Thalassa Cloud offers Standard support across 2 regions (GR, EU). UpCloud offers Standard support across 4 regions (FI, EU, US and 1 more). UpCloud's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Thalassa Cloud vs UpCloud
Thalassa Cloud was founded in 2022 and is headquartered in Greece. UpCloud was founded in 2011 and is headquartered in Helsinki, Finland. UpCloud has 11 years more operational history than Thalassa Cloud, 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.