GMI Cloud vs SKT (Haein Cluster): GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for GMI Cloud and SKT (Haein Cluster). Updated July 2026.
Provider Overview
Strengths & Best For
GMI Cloud provides H100 and H200 GPU clusters across US and APAC regions with NVLink interconnects for high-bandwidth distributed AI training and large-scale LLM inference. Competitive on-demand pricing and large cluster support make it a strong option for APAC-based AI teams that need flagship NVIDIA hardware without the latency of US-only providers. A reliable specialist GPU cloud for organizations running multi-node training workloads across North America and Asia-Pacific.
- Competitive H100/H200 pricing
- APAC region availability
- High-bandwidth interconnects
- Large cluster 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
GMI Cloud — specialist provider
GMI Cloud provides H100 and H200 GPU clusters across US and APAC regions with NVLink interconnects for high-bandwidth distributed AI training and large-scale LLM inference. Competitive on-demand pricing and large cluster support make it a strong option for APAC-based AI teams that need flagship NVIDIA hardware without the latency of US-only providers. A reliable specialist GPU cloud for organizations running multi-node training workloads across North America and Asia-Pacific.
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
GMI Cloud 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
GMI Cloud is best suited for: Large-scale training, APAC-based teams, H200 workloads. Its key strengths are competitive h100/h200 pricing, apac region availability, high-bandwidth interconnects. 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, GMI Cloud 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
GMI Cloud offers Standard support across 2 regions (US, APAC). SKT (Haein Cluster) offers Enterprise support across 1 region (KR). GMI Cloud's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: GMI Cloud vs SKT (Haein Cluster)
GMI Cloud was founded in 2023 and is headquartered in United States. SKT (Haein Cluster) was founded in 2023 and is headquartered in Seoul, South Korea. Both providers were founded in the same year — evaluate them on current pricing, region coverage, and support tier rather than operational history. 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.