AWS vs SKT (Haein Cluster): GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for AWS and SKT (Haein Cluster). Updated July 2026.
Provider Overview
Strengths & Best For
AWS offers on-demand, reserved, and spot GPU instances across EC2 P4d (A100), P5 (H100), and G6 (L40S) families, spanning 30+ global regions with enterprise SLAs and deep ML tooling via SageMaker. H100 and A100 clusters are available with InfiniBand networking for distributed LLM training and large-scale AI inference. The broadest ecosystem of any GPU cloud provider, making it the default choice for enterprises already invested in the AWS stack.
- Widest global region coverage
- Deep ecosystem integrations
- Enterprise SLAs
- Reserved instance discounts
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
AWS — hyperscaler provider
AWS offers on-demand, reserved, and spot GPU instances across EC2 P4d (A100), P5 (H100), and G6 (L40S) families, spanning 30+ global regions with enterprise SLAs and deep ML tooling via SageMaker. H100 and A100 clusters are available with InfiniBand networking for distributed LLM training and large-scale AI inference. The broadest ecosystem of any GPU cloud provider, making it the default choice for enterprises already invested in the AWS stack.
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
AWS uses a On-demand, Reserved (1yr/3yr), Spot billing model with a minimum commitment of None (on-demand). SKT (Haein Cluster) uses Reserved / On-demand billing with a Varies minimum. AWS's no-commitment on-demand model is more flexible for short-term or experimental workloads, while SKT (Haein Cluster)'s commitment requirement suits teams with predictable long-running jobs.
Which workloads each provider suits best
AWS is best suited for: Enterprise workloads, Production ML inference, Teams already on AWS. Its key strengths are widest global region coverage, deep ecosystem integrations, enterprise slas. 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. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
AWS offers Basic → Enterprise support across 5 regions (us-east-1, us-west-2, eu-west-1 and 2 more). SKT (Haein Cluster) offers Enterprise support across 1 region (KR). AWS's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: AWS vs SKT (Haein Cluster)
AWS was founded in 2006 and is headquartered in Seattle, WA. SKT (Haein Cluster) was founded in 2023 and is headquartered in Seoul, South Korea. AWS has 17 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.