GPUhub vs SKT (Haein Cluster): GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for GPUhub and SKT (Haein Cluster). Updated July 2026.
Provider Overview
Strengths & Best For
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.
- APAC presence
- Affordable pricing
- Local support
SK Telecom's Haein Cluster is a large-scale H100 GPU cluster in South Korea, purpose-built for Korean enterprise AI training and research institution workloads at hyperscale. Telco-grade reliability and Korean data residency make it the premier domestic GPU cloud option for South Korean enterprises with strict data sovereignty requirements. A strong choice for Korean organizations running large-scale LLM training and distributed AI workloads that need to keep data within South Korea.
- Large-scale Korean cluster
- Telco-grade reliability
- Korean enterprise focus
Live GPU Pricing
Region Coverage
Popular Comparisons
GPUhub — specialist provider
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.
SKT (Haein Cluster) — hyperscaler provider
SK Telecom's Haein Cluster is a large-scale H100 GPU cluster in South Korea, purpose-built for Korean enterprise AI training and research institution workloads at hyperscale. Telco-grade reliability and Korean data residency make it the premier domestic GPU cloud option for South Korean enterprises with strict data sovereignty requirements. A strong choice for Korean organizations running large-scale LLM training and distributed AI workloads that need to keep data within South Korea.
Billing model comparison
GPUhub uses a On-demand billing model with a minimum commitment of None. SKT (Haein Cluster) uses Reserved / On-demand billing with a Varies minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
GPUhub is best suited for: Southeast Asian teams, Cost-sensitive AI workloads, APAC inference. Its key strengths are apac presence, affordable pricing, local support. SKT (Haein Cluster) is best suited for: Korean enterprises, Large-scale training, APAC AI workloads. Its key strengths are large-scale korean cluster, telco-grade reliability, korean enterprise focus. As a specialist provider, GPUhub typically offers lower per-GPU rates for teams that don't need the full hyperscaler ecosystem. SKT (Haein Cluster) as a hyperscaler offers broader ecosystem integration and compliance certifications at a premium.
Support tiers and region coverage
GPUhub offers Standard support across 2 regions (VN, APAC). SKT (Haein Cluster) offers Enterprise support across 1 region (KR). GPUhub's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: GPUhub vs SKT (Haein Cluster)
GPUhub was founded in 2021 and is headquartered in Ho Chi Minh City, Vietnam. SKT (Haein Cluster) was founded in 2023 and is headquartered in Seoul, South Korea. GPUhub has 2 years more operational history than SKT (Haein Cluster), which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.