Provider Overview
Strengths & Best For
AWS offers on-demand, reserved, and spot GPU instances across EC2 P4d (A100), P5 (H100), and G6 (L40S) families, spanning 30+ global regions with enterprise SLAs and deep ML tooling via SageMaker. H100 and A100 clusters are available with InfiniBand networking for distributed LLM training and large-scale AI inference. The broadest ecosystem of any GPU cloud provider, making it the default choice for enterprises already invested in the AWS stack.
- Widest global region coverage
- Deep ecosystem integrations
- Enterprise SLAs
- Reserved instance discounts
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
Live GPU Pricing
Region Coverage
Popular Comparisons
AWS — hyperscaler provider
AWS offers on-demand, reserved, and spot GPU instances across EC2 P4d (A100), P5 (H100), and G6 (L40S) families, spanning 30+ global regions with enterprise SLAs and deep ML tooling via SageMaker. H100 and A100 clusters are available with InfiniBand networking for distributed LLM training and large-scale AI inference. The broadest ecosystem of any GPU cloud provider, making it the default choice for enterprises already invested in the AWS stack.
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.
Billing model comparison
AWS uses a On-demand, Reserved (1yr/3yr), Spot billing model with a minimum commitment of None (on-demand). Scaleway uses On-demand, Reserved billing with a None minimum. AWS's no-commitment on-demand model is more flexible for short-term or experimental workloads, while Scaleway's commitment requirement suits teams with predictable long-running jobs.
Which workloads each provider suits best
AWS is best suited for: Enterprise workloads, Production ML inference, Teams already on AWS. Its key strengths are widest global region coverage, deep ecosystem integrations, enterprise slas. 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. As a hyperscaler, AWS offers broader ecosystem integration and compliance certifications at a premium price. Scaleway as a specialist provider typically offers lower per-GPU rates for teams that don't need the full hyperscaler ecosystem.
Support tiers and region coverage
AWS offers Basic → Enterprise support across 5 regions (us-east-1, us-west-2, eu-west-1 and 2 more). Scaleway offers Basic → Enterprise support across 2 regions (EU-West, EU-Central). AWS's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: AWS vs Scaleway
AWS was founded in 2006 and is headquartered in Seattle, WA. Scaleway was founded in 2015 and is headquartered in Paris, France. AWS has 9 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.