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AIEEV vs Koyeb: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Specialist
Specialist
Founded
2023
2021
Headquarters
Seoul, South Korea
Paris, France
Billing model
On-demand
Pay-per-use (per-second), Saving plans
Min commitment
None
None
Support tier
Standard → Enterprise
Community → 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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Koyeb

Koyeb is joining Mistral AI to build the future of AI infrastructure. The platform offers serverless GPU compute with automatic scaling to zero and per-second billing. GPU catalog: B200, H200, H100, A100 SXM, RTX PRO 6000, A100, L40S, RTX A6000, L4, RTX 4000 SFF Ada. N300s (NVIDIA Rubin) available via request. 7 regions in US, EU, and Asia. Saving plans up to 50% off. Kubernetes deployment in 120 seconds. Check koyeb.com/pricing for current rates.

Strengths
  • B200, H200, H100 — competitive serverless pricing
  • Joining Mistral AI — strong AI infrastructure future
  • Automatic scaling to zero — no idle costs
  • Per-second billing, Kubernetes in 120 seconds
  • 7 regions in US, EU, and Asia
  • N300s (NVIDIA Rubin) available via request
Weaknesses
  • Acquisition by Mistral AI may change product direction
  • Fewer regions than major cloud providers
  • Less mature ecosystem vs CoreWeave or Lambda
Best For
Inference API deployments with variable trafficServerless AI applicationsTeams wanting zero-ops GPU inferenceMistral AI ecosystem users
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Key differences

AIEEV

GPU inference cloud on RTX-class nodes in South Korea

Koyeb

Joining Mistral AI — B200, H200, H100, serverless GPU with scale-to-zero

AttributeAIEEVKoyeb
Provider typespecialistspecialist
Billing modelOn-demandPay-per-use (per-second), Saving plans
Min commitmentNoneNone
Regions1 (KR)3 (EU, US, Asia)
Support tierStandard → EnterpriseCommunity → Enterprise
Best forKorean enterprises needing local data residency, APAC AI teams serving Korean usersInference API deployments with variable traffic, Serverless AI applications
Founded / HQ2023 · Seoul, South Korea2021 · Paris, France