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QuantaCloud vs Scaleway: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Bare-metal
Specialist
Founded
2021
2015
Headquarters
United States
Paris, France
Billing model
Reserved / On-demand
On-demand, Reserved
Min commitment
Varies by config
None
Support tier
Standard → Enterprise
Basic → Enterprise
Regions
1 regions
3 regions

Strengths & Best For

QuantaCloud

QuantaCloud provides bare-metal A100, H100, H200, and B300 GPU clusters with InfiniBand interconnect and no virtualization overhead, purpose-built for large-scale LLM training and multi-node distributed AI workloads. Reserved and cluster configurations are available for organizations that need dedicated GPU infrastructure with consistent performance for long-running training runs. A specialist bare-metal GPU cloud for AI labs and enterprises that need maximum cluster performance for frontier model training.

Strengths
  • Bare-metal performance
  • InfiniBand networking
  • Large cluster configs
  • H200 and B300 availability
Weaknesses
  • Bare-metal focused — requires more infrastructure management
  • Limited self-service tooling
  • Smaller ecosystem vs cloud providers
Best For
Large-scale LLM trainingMulti-node clustersReserved GPU capacity
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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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Live GPU Pricing

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Region Coverage

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

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Key differences

QuantaCloud

Bare-metal GPU cloud with A100, H100, and H200 clusters

Scaleway

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

AttributeQuantaCloudScaleway
Provider typebare-metalspecialist
Billing modelReserved / On-demandOn-demand, Reserved
Min commitmentVaries by configNone
Regions1 (US)3 (EU-West (Paris), EU-West (Amsterdam), EU-Central (Warsaw))
Support tierStandard → EnterpriseBasic → Enterprise
Best forLarge-scale LLM training, Multi-node clustersEU-based teams needing GPU + full cloud stack from one EU-sovereign provider, Organizations avoiding US hyperscaler data residency concerns
Founded / HQ2021 · United States2015 · Paris, France