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Salad vs SKT (Haein Cluster): GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Salad and SKT (Haein Cluster). Updated July 2026.

Provider Overview

Provider type
Marketplace
Hyperscaler
Founded
2020
2023
Headquarters
Boston, MA
Seoul, South Korea
Billing model
Per-use (serverless)
Reserved / On-demand
Min commitment
None
Varies
Support tier
Community → Pro
Enterprise
Regions
2 regions
1 regions

Strengths & Best For

Salad

Salad leverages a distributed network of consumer GPUs — including RTX 4090 and RTX 3090 — to deliver some of the lowest AI inference prices on the market, making it ideal for batch image generation, LLM inference, and cost-sensitive AI workloads. The marketplace model enables per-use billing with no minimum commitment, dramatically undercutting traditional on-demand GPU cloud pricing for fault-tolerant jobs. Best suited for workloads that can tolerate variable hardware rather than requiring guaranteed uptime.

Strengths
  • Extremely low prices
  • Consumer GPU network
  • Batch inference focus
  • Pay-per-use
Best For
Budget inference workloadsImage generation pipelinesCost-sensitive batch jobs
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SKT (Haein Cluster)

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.

Strengths
  • Large-scale Korean cluster
  • Telco-grade reliability
  • Korean enterprise focus
Best For
Korean enterprisesLarge-scale trainingAPAC AI workloads
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Live GPU Pricing

No live pricing data available for these providers right now. View all live GPU prices →

Region Coverage

Popular Comparisons

Saladmarketplace provider

Salad leverages a distributed network of consumer GPUs — including RTX 4090 and RTX 3090 — to deliver some of the lowest AI inference prices on the market, making it ideal for batch image generation, LLM inference, and cost-sensitive AI workloads. The marketplace model enables per-use billing with no minimum commitment, dramatically undercutting traditional on-demand GPU cloud pricing for fault-tolerant jobs. Best suited for workloads that can tolerate variable hardware rather than requiring guaranteed uptime.

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

Salad uses a Per-use (serverless) 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

Salad is best suited for: Budget inference workloads, Image generation pipelines, Cost-sensitive batch jobs. Its key strengths are extremely low prices, consumer gpu network, batch inference focus. 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. Marketplace providers aggregate GPU supply from multiple sources, often offering the lowest spot rates but with more variable availability and less predictable performance compared to dedicated providers.

Support tiers and region coverage

Salad offers Community → Pro support across 2 regions (US, EU). SKT (Haein Cluster) offers Enterprise support across 1 region (KR). Salad's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.

Provider background: Salad vs SKT (Haein Cluster)

Salad was founded in 2020 and is headquartered in Boston, MA. SKT (Haein Cluster) was founded in 2023 and is headquartered in Seoul, South Korea. Salad 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.