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Google Cloud vs Scaleway: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Google Cloud and Scaleway. Updated July 2026.

Provider Overview

Attribute
Google Cloud
Scaleway
Provider type
Hyperscaler
Specialist
Founded
2008
2015
Headquarters
Sunnyvale, CA
Paris, France
Billing model
On-demand, Committed Use (1yr/3yr), Spot/Preemptible
On-demand, Reserved
Min commitment
None (on-demand)
None
Support tier
Basic → Premium
Basic → Enterprise
Regions
5 regions
2 regions

Strengths & Best For

Google Cloud

Google Cloud provides A100 and H100 GPU instances via Compute Engine and Vertex AI, with sustained use discounts and committed use contracts that can significantly cut hourly GPU rental costs. TPU v4 and v5 accelerators are also available for TensorFlow and JAX workloads, giving teams a unique alternative to NVIDIA hardware. Spanning 30+ regions, it is the top choice for ML pipelines deeply integrated with the TensorFlow and Google ecosystem.

Strengths
  • Sustained use discounts
  • Vertex AI integration
  • TPU availability
  • Strong networking
Best For
ML training pipelinesTensorFlow workloadsTeams using GCP services
Visit Google Cloud
Scaleway

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.

Strengths
  • EU sovereignty
  • GDPR compliant
  • Competitive EU pricing
  • Managed Kubernetes
Best For
EU-based AI teamsGDPR-sensitive workloadsFull-stack cloud users
Visit Scaleway

Live GPU Pricing

No live pricing data available for these providers right now. View all live GPU prices →

Region Coverage

Google Cloud — 5 regions
us-central1us-east4europe-west4asia-east1asia-northeast1
Scaleway — 2 regions
EU-WestEU-Central

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Full Google Cloud profile Full Scaleway profile

Google Cloud — hyperscaler provider

Google Cloud provides A100 and H100 GPU instances via Compute Engine and Vertex AI, with sustained use discounts and committed use contracts that can significantly cut hourly GPU rental costs. TPU v4 and v5 accelerators are also available for TensorFlow and JAX workloads, giving teams a unique alternative to NVIDIA hardware. Spanning 30+ regions, it is the top choice for ML pipelines deeply integrated with the TensorFlow and Google ecosystem.

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

Google Cloud uses a On-demand, Committed Use (1yr/3yr), Spot/Preemptible billing model with a minimum commitment of None (on-demand). Scaleway uses On-demand, Reserved billing with a None minimum. Google Cloud'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

Google Cloud is best suited for: ML training pipelines, TensorFlow workloads, Teams using GCP services. Its key strengths are sustained use discounts, vertex ai integration, tpu availability. 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, Google Cloud 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

Google Cloud offers Basic → Premium support across 5 regions (us-central1, us-east4, europe-west4 and 2 more). Scaleway offers Basic → Enterprise support across 2 regions (EU-West, EU-Central). Google Cloud's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.

Provider background: Google Cloud vs Scaleway

Google Cloud was founded in 2008 and is headquartered in Sunnyvale, CA. Scaleway was founded in 2015 and is headquartered in Paris, France. Google Cloud has 7 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.