SF Compute vs SKT (Haein Cluster): Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for SF Compute and SKT (Haein Cluster). Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
SF Compute offers H100 SXM5 80GB GPU clusters with both short-term on-demand and longer-term contract pricing. The platform targets AI training and research teams that need reliable H100 access at competitive rates. October 2026 on-demand rate: $5.04/GPU-hr. SF Compute provides VMs, bare metal, and managed Slurm cluster options, making it flexible for different workflow types. A practical choice for teams that want H100 compute without the overhead of hyperscaler pricing.
- H100 SXM5 80GB at competitive on-demand rates
- Bare metal and managed Slurm options
- Short and long-term contract flexibility
- US West region — low latency for West Coast teams
- Limited GPU catalog — primarily H100
- Smaller provider — less geographic diversity
- Less mature ecosystem vs established GPU clouds
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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
- Primarily South Korea focused — very limited global regions
- Limited English documentation and support
- Small GPU catalog vs global providers
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Key differences
SF Compute
H100 cluster compute — contract and on-demand GPU access from $5.04/hr
SKT (Haein Cluster)
Korean telco AI cloud