Scaleway vs DigitalOcean: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Scaleway and DigitalOcean. Updated July 2026.
Provider Overview
Strengths & Best For
Scaleway is a French GPU cloud offering H100 and A100 instances with strong GDPR compliance and EU data sovereignty, backed by managed Kubernetes and a full developer-friendly cloud platform. On-demand and reserved billing options are available across EU data centers, making it one of the most complete European GPU cloud options for teams that need both AI compute and broader cloud services. A natural fit for EU-based AI teams that want competitive European GPU pricing without vendor lock-in.
- EU sovereignty
- GDPR compliant
- Competitive EU pricing
- Managed Kubernetes
DigitalOcean offers H100, L40S, A100, and RTX 4000 ADA GPU instances with simple hourly pricing and a polished developer experience across 15+ global regions. On-demand GPU cloud access is paired with managed Kubernetes, object storage, and a full suite of developer services, making it easy to build end-to-end AI applications without juggling multiple providers. A natural choice for developers already on DigitalOcean who want to add GPU compute to their stack.
- Developer-friendly UX
- Simple pricing
- Full cloud ecosystem
- Managed Kubernetes
Live GPU Pricing
Region Coverage
Popular Comparisons
Scaleway — specialist provider
Scaleway is a French GPU cloud offering H100 and A100 instances with strong GDPR compliance and EU data sovereignty, backed by managed Kubernetes and a full developer-friendly cloud platform. On-demand and reserved billing options are available across EU data centers, making it one of the most complete European GPU cloud options for teams that need both AI compute and broader cloud services. A natural fit for EU-based AI teams that want competitive European GPU pricing without vendor lock-in.
DigitalOcean — specialist provider
DigitalOcean offers H100, L40S, A100, and RTX 4000 ADA GPU instances with simple hourly pricing and a polished developer experience across 15+ global regions. On-demand GPU cloud access is paired with managed Kubernetes, object storage, and a full suite of developer services, making it easy to build end-to-end AI applications without juggling multiple providers. A natural choice for developers already on DigitalOcean who want to add GPU compute to their stack.
Billing model comparison
Scaleway uses a On-demand, Reserved billing model with a minimum commitment of None. DigitalOcean uses On-demand (hourly) 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
Scaleway is best suited for: EU-based AI teams, GDPR-sensitive workloads, Full-stack cloud users. Its key strengths are eu sovereignty, gdpr compliant, competitive eu pricing. DigitalOcean is best suited for: Developers wanting simplicity, Full-stack cloud users, Teams already on DigitalOcean. Its key strengths are developer-friendly ux, simple pricing, full cloud ecosystem. 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
Scaleway offers Basic → Enterprise support across 2 regions (EU-West, EU-Central). DigitalOcean offers Basic → Premium support across 3 regions (US, EU, APAC). DigitalOcean's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Scaleway vs DigitalOcean
Scaleway was founded in 2015 and is headquartered in Paris, France. DigitalOcean was founded in 2011 and is headquartered in New York, NY. DigitalOcean has 4 years more operational history than Scaleway, 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.