Hot Aisle vs SKT (Haein Cluster): GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Hot Aisle and SKT (Haein Cluster). Updated July 2026.
Provider Overview
Strengths & Best For
Hot Aisle provides bare-metal H100, A100, and RTX GPU servers with no virtualization overhead and dedicated hardware for AI training and HPC workloads, based in the UK. Monthly and on-demand billing options are available for teams that need consistent, dedicated GPU performance without shared-tenancy concerns. A strong bare-metal GPU option for UK-based HPC teams and AI labs that need maximum hardware performance and full control over their compute environment.
- Bare-metal performance
- No virtualization overhead
- UK presence
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
Hot Aisle — bare-metal provider
Hot Aisle provides bare-metal H100, A100, and RTX GPU servers with no virtualization overhead and dedicated hardware for AI training and HPC workloads, based in the UK. Monthly and on-demand billing options are available for teams that need consistent, dedicated GPU performance without shared-tenancy concerns. A strong bare-metal GPU option for UK-based HPC teams and AI labs that need maximum hardware performance and full control over their compute environment.
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
Hot Aisle uses a Monthly / 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
Hot Aisle is best suited for: HPC workloads, Dedicated training, Performance-critical AI. Its key strengths are bare-metal performance, no virtualization overhead, uk presence. 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
Hot Aisle offers Standard support across 1 region (UK). SKT (Haein Cluster) offers Enterprise support across 1 region (KR). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: Hot Aisle vs SKT (Haein Cluster)
Hot Aisle was founded in 2020 and is headquartered in United Kingdom. SKT (Haein Cluster) was founded in 2023 and is headquartered in Seoul, South Korea. Hot Aisle has 3 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.