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Salad vs 1Legion: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Salad and 1Legion. Updated July 2026.

Provider Overview

Attribute
Provider type
Marketplace
Specialist
Founded
2020
2023
Headquarters
Boston, MA
United States
Billing model
Per-use (serverless)
On-demand
Min commitment
None
None
Support tier
Community → Pro
Standard
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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1Legion

1Legion provides H100 and A100 GPU cloud compute for AI training and inference workloads with competitive on-demand pricing and high-performance NVIDIA hardware. Fast provisioning and straightforward billing make it accessible for startups and research teams that need reliable GPU access for LLM fine-tuning and model deployment without enterprise contracts. A practical on-demand GPU cloud for AI teams that want competitive pricing and dependable hardware performance.

Strengths
  • High-performance hardware
  • Competitive pricing
  • Fast provisioning
Best For
AI trainingInference workloadsStartups
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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.

1Legionspecialist provider

1Legion provides H100 and A100 GPU cloud compute for AI training and inference workloads with competitive on-demand pricing and high-performance NVIDIA hardware. Fast provisioning and straightforward billing make it accessible for startups and research teams that need reliable GPU access for LLM fine-tuning and model deployment without enterprise contracts. A practical on-demand GPU cloud for AI teams that want competitive pricing and dependable hardware performance.

Billing model comparison

Salad uses a Per-use (serverless) billing model with a minimum commitment of None. 1Legion uses On-demand billing with a None 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. 1Legion is best suited for: AI training, Inference workloads, Startups. Its key strengths are high-performance hardware, competitive pricing, fast provisioning. 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). 1Legion offers Standard support across 1 region (US). 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 1Legion

Salad was founded in 2020 and is headquartered in Boston, MA. 1Legion was founded in 2023 and is headquartered in United States. Salad has 3 years more operational history than 1Legion, 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.