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AIEEVvsLatitude.sh

AIEEV vs Latitude.sh: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
AIEEV
Latitude.sh
Provider type
Specialist
Bare-metal
Founded
2023
2020
Headquarters
Seoul, South Korea
São Paulo, Brazil
Billing model
On-demand
On-demand, Monthly (reserved), Yearly (reserved)
Min commitment
None
None
Support tier
Standard → Enterprise
Standard → Enterprise
Regions
1 regions
4 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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Latitude.sh

Latitude.sh provides bare-metal GPU servers with no virtualization overhead across 26 global regions. GPU catalog: HGX B300 (8×, 2304 GB VRAM, 800 Gbps dual-plane RoCE), RTX PRO 6000 (8×, 768 GB VRAM), H100 80GB. Monthly and yearly reserved pricing tiers are available at lower rates than on-demand hourly. 20 TB free outbound transfer per server. Automated bare-metal with Kubernetes (LKS), virtual machines, managed Postgres, and private networking. SOC 2 Type 2 certified. AMD EPYC Gen 4 CPUs with DDR5 RAM and NVMe storage.

Strengths
  • HGX B300 (8-GPU) — latest Blackwell bare-metal
  • RTX PRO 6000 (8-GPU) — 768 GB VRAM for large inference
  • H100 — competitive single-GPU bare-metal
  • 20 TB free outbound transfer per server
  • 26 global regions including Brazil (LATAM coverage)
  • Monthly and yearly reserved pricing tiers available
Weaknesses
  • Bare-metal only — no managed Kubernetes or MLOps tooling beyond LKS
  • Limited GPU catalog (3 GPU SKUs)
  • Fewer regions than hyperscalers
Best For
Performance-critical workloads needing bare-metalLatency-sensitive inference with no virtualization overheadLATAM teams needing Brazil regionTeams wanting automated bare-metal with Kubernetes
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Live GPU Pricing

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Region Coverage

AIEEV — 1 regions
KR
Latitude.sh — 4 regions
US-EastEU-WestBR-SouthVarious (26 regions)

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Provider pages

AIEEV pricing and specs Latitude.sh pricing and specs

Key differences

AIEEV

GPU inference cloud on RTX-class nodes in South Korea

Latitude.sh

HGX B300, RTX PRO 6000, H100 — bare-metal in 26 regions

AttributeAIEEVLatitude.sh
Provider typespecialistbare-metal
Billing modelOn-demandOn-demand, Monthly (reserved), Yearly (reserved)
Min commitmentNoneNone
Regions1 (KR)4 (US-East, EU-West, BR-South, +1)
Support tierStandard → EnterpriseStandard → Enterprise
Best forKorean enterprises needing local data residency, APAC AI teams serving Korean usersPerformance-critical workloads needing bare-metal, Latency-sensitive inference with no virtualization overhead
Founded / HQ2023 · Seoul, South Korea2020 · São Paulo, Brazil