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GPUhub vs Hyperstack: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2021
2022
Headquarters
Ho Chi Minh City, Vietnam
London, UK
Billing model
On-demand
On-demand (per-minute), Reserved, Spot VMs
Min commitment
None
None
Support tier
Standard
Standard → Enterprise
Regions
2 regions
3 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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Hyperstack

Hyperstack (by NexGen Cloud) is a full-stack AI cloud offering NVIDIA GB200 NVL72, GB300 NVL72, HGX B200, HGX B300, H200 SXM, H100 SXM, H100 NVLink, H100 PCIe, A100 SXM, A100, L40, RTX A6000, RTX A4000, and RTX Pro 6000 SE instances with per-minute billing. Reservation and spot VMs available. 100% renewable energy. Managed Kubernetes, object storage, Terraform, Go/Python SDKs, LLM Inference Toolkit.

Strengths
  • B300, B200, H200 — competitive Blackwell and Hopper pricing
  • A4000 — cheapest enterprise GPU for light workloads
  • Per-minute billing — pay only for what you use
  • 100% renewable energy across all data centers
  • Wide GPU catalog: 13 SKUs from A4000 to GB300 NVL72
  • Managed Kubernetes, Terraform, Go/Python SDKs, LLM Inference Toolkit
Weaknesses
  • Smaller provider — limited scale vs CoreWeave or hyperscalers
  • Fewer regions than major cloud providers
  • B300 on-demand not yet available (reserved private clusters only as of Sept 2026)
Best For
Enterprise AI teams wanting latest Blackwell hardwareEU/NA teams needing renewable-energy GPU computeTeams wanting managed Kubernetes with GPU VMsCost-sensitive teams using reservation discounts
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Region Coverage

Hyperstack — 3 regions
EU-WestEU-CentralUS-East

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Key differences

GPUhub

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

Hyperstack

B300, B200, H200, H100 — per-minute billing, 100% renewable energy

AttributeGPUhubHyperstack
Provider typespecialistspecialist
Billing modelOn-demandOn-demand (per-minute), Reserved, Spot VMs
Min commitmentNoneNone
Regions2 (VN, APAC)3 (EU-West, EU-Central, US-East)
Support tierStandardStandard → Enterprise
Best forSoutheast Asian AI teams, Cost-sensitive APAC inference workloadsEnterprise AI teams wanting latest Blackwell hardware, EU/NA teams needing renewable-energy GPU compute
Founded / HQ2021 · Ho Chi Minh City, Vietnam2022 · London, UK