Yotta vs SKT (Haein Cluster): GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Yotta and SKT (Haein Cluster). Updated July 2026.
Provider Overview
Strengths & Best For
Yotta Infrastructure is an Indian hyperscale data center and cloud provider offering H100 and A100 GPU instances with Indian data residency and enterprise-grade infrastructure for AI training and HPC workloads. On-demand and reserved billing options are available, making it one of the most capable domestic GPU cloud options for Indian enterprises with data sovereignty requirements. A strong choice for APAC-based organizations needing high-performance GPU compute within India.
- Indian data residency
- Hyperscale infrastructure
- H100 availability
- Enterprise SLAs
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
Yotta — specialist provider
Yotta Infrastructure is an Indian hyperscale data center and cloud provider offering H100 and A100 GPU instances with Indian data residency and enterprise-grade infrastructure for AI training and HPC workloads. On-demand and reserved billing options are available, making it one of the most capable domestic GPU cloud options for Indian enterprises with data sovereignty requirements. A strong choice for APAC-based organizations needing high-performance GPU compute within India.
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
Yotta uses a On-demand, Reserved 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
Yotta is best suited for: India-based AI teams, APAC enterprise workloads, Regional data residency. Its key strengths are indian data residency, hyperscale infrastructure, h100 availability. 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, Yotta 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
Yotta offers Standard → Enterprise support across 2 regions (IN-West, IN-South). SKT (Haein Cluster) offers Enterprise support across 1 region (KR). Yotta's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Yotta vs SKT (Haein Cluster)
Yotta was founded in 2019 and is headquartered in Mumbai, India. SKT (Haein Cluster) was founded in 2023 and is headquartered in Seoul, South Korea. Yotta has 4 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.