Corelink vs Salad: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Corelink and Salad. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute

Corelink

Salad

Provider type

Specialist

Marketplace

Founded

2023

2018

Headquarters

United States

Boston, MA

Billing model

On-demand, Spot

Per-second on-demand, Reserved contracts (Dedicated)

Min commitment

None

None (Community Cloud)

Support tier

Community → Standard

Community → Enterprise

Regions

1 regions

3 regions

Strengths & Best For

Corelink

Corelink is a GPU cloud offering H100, H200, A100, and L40S instances with flexible billing, spot availability, and competitive on-demand pricing for AI training and inference workloads. The self-serve platform makes it easy to provision GPU capacity for LLM fine-tuning, distributed training, and model deployment without enterprise contracts. A straightforward on-demand GPU cloud for startups and research teams that need H100 access at competitive rates.

Strengths

Competitive H100 pricing
Spot availability
Flexible billing
Wide GPU selection

Weaknesses

Smaller provider — limited scale vs hyperscalers
Fewer regions than major cloud providers
Less mature ecosystem and fewer integrations

Best For

Cost-sensitive AI trainingSpot-tolerant workloadsStartups needing H100 access

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Corelink Rating

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Salad

Salad orchestrates idle consumer GPUs from homes and small businesses worldwide into a single API-driven platform. GPU catalog: RTX 5090, RTX 4090, RTX 5080, RTX 4080, RTX 3090. Four priority tiers: High (never preempted), Medium, Low, Lowest (batch, cheapest). vCPU and RAM included with every GPU. Products: Community Cloud (lowest-cost distributed pool), Salad Dedicated (reserved RTX PRO 6000 Blackwell bare metal on contract), AI Gateway (OpenAI-compatible LLM endpoint), Transcription API, Private AI Cloud (run on your own idle GPUs). SOC 2 Type I. Trusted by Civitai (10M images/day).

Strengths

RTX 4090 (Lowest priority) — cheapest RTX 4090 inference anywhere
RTX 5090 (Lowest priority) — Blackwell at consumer prices
Four priority tiers: High/Medium/Low/Lowest — balance cost vs reliability
vCPU and RAM included with every GPU at no extra charge
Per-second billing, no cold-start charges, no minimums
Salad Dedicated: RTX PRO 6000 Blackwell bare metal on contract

Weaknesses

Consumer GPU network — not suitable for sub-10ms latency or NVLink multi-GPU training
No data-residency guarantees on Community Cloud
Interruptible nodes require fault-tolerant workload design

Best For

Batch image generation and video AI at lowest costLLM inference via AI GatewaySpeech-to-text transcription at scaleTeams wanting private cloud on their own idle hardware

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Salad Rating

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