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GPU.ai vs Scaleway: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for GPU.ai and Scaleway. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Specialist
Founded
2023
2015
Headquarters
United States
Paris, France
Billing model
On-demand
On-demand, Reserved
Min commitment
None
None
Support tier
Standard
Basic → Enterprise
Regions
1 regions
3 regions

Strengths & Best For

GPU.ai

GPU.ai provides H100, A100, and L40S cloud GPU instances optimized for AI and ML workloads with a developer-friendly interface and competitive on-demand pricing for training and inference jobs. Straightforward billing and fast provisioning make it accessible for AI developers who want quick access to professional NVIDIA hardware without navigating complex enterprise pricing. A clean, no-frills on-demand GPU cloud for developers building and deploying AI models.

Strengths
  • AI-optimized
  • Developer-friendly
  • Competitive pricing
Weaknesses
  • Small provider — limited scale
  • Less mature platform vs larger providers
  • Limited ecosystem integrations
Best For
AI developersModel trainingInference APIs
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Scaleway

Scaleway is a French cloud provider offering H100 SXM and PCIe GPU instances alongside a full cloud platform — managed Kubernetes (Kapsule), object storage, managed databases, serverless functions, and private networking — all within EU data centers. In 2025–2026 Scaleway launched H100 PCIe instances at competitive EU pricing, expanded its managed Kubernetes GPU node pools to support multi-GPU workloads natively, and introduced a GPU-optimized bare-metal tier for latency-sensitive inference. As a subsidiary of Iliad Group (one of France's largest telecoms), Scaleway has the financial backing and network infrastructure to compete seriously in the EU GPU market. A strong choice for European teams that want GPU compute and a full cloud stack from a single EU-sovereign provider, avoiding US hyperscaler data residency concerns entirely.

Strengths
  • Full EU-sovereign cloud stack — GPU, Kubernetes, storage, databases in one platform
  • H100 SXM and PCIe at competitive European pricing
  • Managed Kubernetes with native GPU node pool support
  • Backed by Iliad Group — strong financial stability and network infrastructure
  • GPU-optimized bare-metal tier for low-latency inference
Weaknesses
  • GPU catalog narrower than AWS, GCP, or Azure
  • Primarily EU regions — limited options for US or APAC deployments
  • ML ecosystem tooling less mature than hyperscalers
Best For
EU-based teams needing GPU + full cloud stack from one EU-sovereign providerOrganizations avoiding US hyperscaler data residency concernsTeams running GPU training alongside managed Kubernetes workloadsFrench and European enterprises with strict data sovereignty requirements
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Region Coverage

Scaleway — 3 regions
EU-West (Paris)EU-West (Amsterdam)EU-Central (Warsaw)

Popular Comparisons

Key differences

GPU.ai

GPU cloud for AI developers

Scaleway

European GPU cloud — H100, managed Kubernetes, and full cloud stack with EU sovereignty

AttributeGPU.aiScaleway
Provider typespecialistspecialist
Billing modelOn-demandOn-demand, Reserved
Min commitmentNoneNone
Regions1 (US)3 (EU-West (Paris), EU-West (Amsterdam), EU-Central (Warsaw))
Support tierStandardBasic → Enterprise
Best forAI developers, Model trainingEU-based teams needing GPU + full cloud stack from one EU-sovereign provider, Organizations avoiding US hyperscaler data residency concerns
Founded / HQ2023 · United States2015 · Paris, France