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AIEEV vs Scaleway: Pricing, Specs, Strengths & Weaknesses

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

Overview

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

Strengths & Best For

AIEEV

AIEEV is a South Korean GPU inference cloud offering RTX-class GPU instances from data centers in South Korea, providing low-latency AI inference for APAC-based teams with Korean data residency. On-demand pricing and a developer-friendly platform make it accessible for AI startups and enterprises in the Korean market. One of the few dedicated GPU inference clouds with South Korean data residency for teams serving the Korean and broader APAC market.

Strengths
  • South Korean data residency
  • RTX-class GPU instances
  • Low-latency APAC inference
  • Developer-friendly platform
Weaknesses
  • Single-country provider — no global coverage
  • Smaller scale vs hyperscalers
  • Limited English documentation and support
Best For
Korean enterprises needing local data residencyAPAC AI teams serving Korean usersTeams with Korean compliance requirements
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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

AIEEV

GPU inference cloud on RTX-class nodes in South Korea

Scaleway

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

AttributeAIEEVScaleway
Provider typespecialistspecialist
Billing modelOn-demandOn-demand, Reserved
Min commitmentNoneNone
Regions1 (KR)3 (EU-West (Paris), EU-West (Amsterdam), EU-Central (Warsaw))
Support tierStandard → EnterpriseBasic → Enterprise
Best forKorean enterprises needing local data residency, APAC AI teams serving Korean usersEU-based teams needing GPU + full cloud stack from one EU-sovereign provider, Organizations avoiding US hyperscaler data residency concerns
Founded / HQ2023 · Seoul, South Korea2015 · Paris, France