GPUhub vs Vast.ai: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute

GPUhub

Vast.ai

Provider type

Specialist

Marketplace

Founded

2021

2017

Headquarters

Ho Chi Minh City, Vietnam

San Francisco, CA

Billing model

On-demand

Per-second on-demand, Interruptible, Reserved

Min commitment

None

Support tier

Standard

Community → Enterprise

Regions

2 regions

4 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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Vast.ai

Vast.ai is a GPU marketplace where prices are set by supply and demand across 40+ data centers. 68+ GPU types spanning Blackwell, Hopper, Ada Lovelace, Ampere, Turing, Volta, Pascal — from B300 and H200 down to RTX 3090. Three pricing tiers: On-Demand (higher availability), Interruptible (lower cost, interruptible), Reserved (committed pricing). Per-second billing, no lock-in. SOC 2 certified. Check the live table for current rates.

Strengths