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GPUhub vs Verda: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Specialist
Specialist
Founded
2021
2022
Headquarters
Ho Chi Minh City, Vietnam
Oslo, Norway
Billing model
On-demand
On-demand, Spot, Reserved (1mo–2yr)
Min commitment
None
None
Support tier
Standard
Standard → Enterprise (ML craftsmen + infra engineers)
Regions
2 regions
2 regions

Strengths & Best For

GPUhub

GPUhub is a Southeast Asian GPU cloud based in Vietnam, offering H100, A100, and RTX instances at affordable APAC pricing for AI and ML workloads across the region. On-demand billing and local Vietnamese and English support make it one of the most accessible GPU cloud options for Vietnamese and Southeast Asian teams running LLM training, fine-tuning, and inference workloads. Low-latency connectivity within Southeast Asia reduces round-trip times for APAC-based inference deployments.

Strengths
  • APAC/Southeast Asia data center presence
  • Affordable pricing for APAC teams
  • Local Vietnamese and English support
  • H100 and A100 availability
Weaknesses
  • Primarily Southeast Asia focused — limited global regions
  • Less mature platform vs global providers
  • Smaller GPU catalog than hyperscalers
Best For
Southeast Asian AI teamsCost-sensitive APAC inference workloadsVietnamese and regional enterprises
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Verda

Verda is a full-stack European AI cloud built for the full AI lifecycle — from rapid prototyping to foundation training and scalable inference. GPU catalog: GB300 SXM6, B300 SXM6, B200 SXM6, H200 SXM5, H100 SXM5, A100 SXM4, RTX PRO 6000, L40S — on-demand and spot. Instant clusters with InfiniBand interconnect up to 144× GPUs self-service. Serverless containers with scale-to-zero. GB300 NVL72 available (NVLink v5). $155M funding (NIB joined July 2026). SOC 2 Type II, ISO 27001/27017/27018/27701, GDPR, C5 certified. In-house AI Lab co-engineering with customers (1X World Model, SGLang, vLLM). 99.9% uptime.

Strengths
  • GB300, B300, B200 — competitive Blackwell pricing with spot options
  • Spot pricing available across all GPU tiers
  • Instant clusters up to 144× GPUs with InfiniBand, self-service
  • In-house AI Lab: co-engineering with 1X, SGLang, vLLM
  • SOC 2 Type II, ISO 27001/27017/27018/27701, GDPR, C5
  • GB300 NVL72 with NVLink v5 available
Weaknesses
  • Primarily EU regions — limited US/APAC coverage
  • Newer provider — smaller ecosystem vs hyperscalers
  • Reserved discounts are modest (2–25% off on-demand)
Best For
EU AI teams needing GDPR and ISO 27001 complianceFull AI lifecycle — prototyping through foundation trainingTeams wanting co-engineering support from AI LabConfidential computing workloads (hardware-attested inference)
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Region Coverage

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Key differences

GPUhub

Southeast Asian GPU cloud — H100, A100, RTX instances with local APAC support

Verda

GB300, B300, B200, H200 — full-stack EU AI cloud, SOC 2 Type II

AttributeGPUhubVerda
Provider typespecialistspecialist
Billing modelOn-demandOn-demand, Spot, Reserved (1mo–2yr)
Min commitmentNoneNone
Regions2 (VN, APAC)2 (EU-North, EU-West)
Support tierStandardStandard → Enterprise (ML craftsmen + infra engineers)
Best forSoutheast Asian AI teams, Cost-sensitive APAC inference workloadsEU AI teams needing GDPR and ISO 27001 compliance, Full AI lifecycle — prototyping through foundation training
Founded / HQ2021 · Ho Chi Minh City, Vietnam2022 · Oslo, Norway