Nebius AI vs SKT (Haein Cluster): GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Nebius AI and SKT (Haein Cluster). Updated July 2026.
Provider Overview
Strengths & Best For
Nebius AI (formerly Yandex Cloud international) is a European AI-focused cloud offering H100, H200, and A100 GPU clusters with competitive pricing and full EU data residency for GDPR-compliant AI training and inference. On-demand, spot, and reserved billing options are available, making it one of the most flexible European GPU cloud choices for cost-sensitive teams. A strong alternative to hyperscalers for EU-based organizations that cannot send data outside European borders.
- EU data residency
- Competitive H100/H200 pricing
- Spot availability
- GDPR compliant
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
Nebius AI — specialist provider
Nebius AI (formerly Yandex Cloud international) is a European AI-focused cloud offering H100, H200, and A100 GPU clusters with competitive pricing and full EU data residency for GDPR-compliant AI training and inference. On-demand, spot, and reserved billing options are available, making it one of the most flexible European GPU cloud choices for cost-sensitive teams. A strong alternative to hyperscalers for EU-based organizations that cannot send data outside European borders.
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
Nebius AI uses a On-demand, Spot, 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
Nebius AI is best suited for: EU-based AI teams, GDPR-sensitive workloads, Cost-conscious training. Its key strengths are eu data residency, competitive h100/h200 pricing, spot 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, Nebius AI 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
Nebius AI offers Standard → Enterprise support across 2 regions (EU-West, US-East). SKT (Haein Cluster) offers Enterprise support across 1 region (KR). Nebius AI's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Nebius AI vs SKT (Haein Cluster)
Nebius AI was founded in 2023 and is headquartered in Amsterdam, Netherlands. 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.