SKT (Haein Cluster)

SKT (Haein Cluster) GPU pricing overview

SKT (Haein Cluster) is a hyperscaler GPU cloud provider headquartered in Seoul, South Korea. 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 is Reserved / On-demand with a minimum commitment of Varies. Available regions include KR. GPU instances can be provisioned on-demand, making SKT (Haein Cluster) suitable for both short-duration experiments and sustained production workloads.

SKT (Haein Cluster) vs other GPU providers

SKT (Haein Cluster) competes with providers including Lambda Labs, CoreWeave, RunPod, Paperspace, Vast.ai, and the major hyperscalers (AWS, Google Cloud, Azure) for GPU compute workloads spanning LLM training, fine-tuning, and inference serving. Key differentiators include: Large-scale Korean cluster; Telco-grade reliability; Korean enterprise focus. Use the side-by-side comparison tool above to see SKT (Haein Cluster) pricing against any other provider across shared GPU models. For a broader market view, the live GPU prices table shows all 3 SKT (Haein Cluster) listings alongside 91+ providers in a single sortable view.

Best use cases for SKT (Haein Cluster)

SKT (Haein Cluster) is best suited for: Korean enterprises, Large-scale training, APAC AI workloads. Support tiers range from Enterprise, making it viable for both individual researchers and enterprise teams with SLA requirements. There are currently 3 active GPU listings on SKT (Haein Cluster), covering H100 80GB, A100 80GB, H200 141GB. H100 SXM5 instances with NVLink interconnect are commonly used for large-scale training workloads. A100 40GB and RTX 4090 instances are frequently used for fine-tuning and inference of smaller models.

SKT (Haein Cluster) billing model and cost structure

SKT (Haein Cluster) uses Reserved / On-demand pricing. Spot pricing is not currently available on this provider — all instances are on-demand. Reserved instance pricing may be available for predictable long-running workloads — check the provider's pricing page for current committed-use rates. Always compare the effective hourly rate including egress, storage, and networking costs when evaluating total cost of ownership across providers.

Choosing the right GPU on SKT (Haein Cluster)

GPU selection depends on model size, precision, and whether your workload is compute-bound or memory-bandwidth-bound. For LLM training above 30B parameters, H100 80GB SXM5 instances with NVLink are the standard choice — high HBM3 bandwidth and FP16 throughput make them well-suited for large transformer workloads. For inference of 7B–13B models in FP16 or BF16, A100 40GB is a common choice on many providers. RTX 4090 instances are widely used for fine-tuning, prototyping, and quantized inference (INT4/INT8) of models up to 70B. Read the H100 vs A100 guide or the GPU benchmarks for ML guide for a full breakdown.

How SKT (Haein Cluster) pricing data is collected

Prices shown are sourced from SKT (Haein Cluster)'s public pricing API or pricing page and refreshed every 15 minutes. On-demand rates reflect the current list price for a single GPU instance in the cheapest available region. Spot prices, where available, reflect interruptible instance rates at the time of the last snapshot. All prices are in USD per hour. Daily snapshots are kept in our history archive and visualised in the GPU price history charts — useful for identifying seasonal pricing patterns and evaluating whether current rates are above or below the 30-day average.

Evaluating managed LLM inference APIs as an alternative to self-hosted GPU compute? Compare live LLM token prices across OpenAI, Anthropic, Google, Groq, and many other providers. The cheapest GPU cloud guide covers the break-even analysis between self-hosted and managed inference at different request volumes.