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GPUhub vs RunPod: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for GPUhub and RunPod. Updated July 2026.

Provider Overview

Attribute
Provider type
Specialist
Specialist
Founded
2021
2022
Headquarters
Ho Chi Minh City, Vietnam
San Francisco, CA
Billing model
On-demand
On-demand, Spot (interruptible)
Min commitment
None
None
Support tier
Standard
Community → Pro
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 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. A strong regional option for APAC-based developers who want low-latency GPU access at competitive local prices.

Strengths
  • APAC presence
  • Affordable pricing
  • Local support
Best For
Southeast Asian teamsCost-sensitive AI workloadsAPAC inference
Visit GPUhub
RunPod

RunPod is a community GPU cloud marketplace offering H100, A100, RTX 4090, and RTX 3090 instances on both on-demand and spot GPU rental plans, consistently among the lowest-cost options available. Its spot instances make it especially popular with indie AI developers running batch inference, image generation, and LLM fine-tuning on a budget. A serverless GPU option is also available for per-second billing on inference endpoints.

Strengths
  • Very competitive pricing
  • Wide GPU selection
  • Spot instances
  • Serverless GPU option
Best For
Budget-conscious developersExperimentationBatch inference jobs
Visit RunPod

Live GPU Pricing

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Region Coverage

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