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Salad vs Runcrate: GPU Compute Price Comparison

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

Provider Overview

Attribute
Provider type
Marketplace
Marketplace
Founded
2020
2024
Headquarters
Boston, MA
Berlin, Germany
Billing model
Per-use (serverless)
On-demand, Spot
Min commitment
None
None
Support tier
Community → Pro
Community → Standard
Regions
2 regions
4 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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Runcrate

Runcrate is a Berlin-based GPU cloud marketplace aggregating bare-metal and VM instances across 21 GPU types and 11 global regions, with some of the lowest starting prices for on-demand GPU rental available anywhere. The marketplace model gives teams access to H100, A100, and a wide range of other GPU SKUs through a single platform, with flexible spot and on-demand billing. A cost-effective option for EU-based teams needing broad GPU variety and multi-region flexibility.

Strengths
  • 21 GPU types
  • 11 global regions
  • Very competitive pricing
  • Bare metal + VM options
Best For
Cost-sensitive teamsMulti-region deploymentsWide GPU variety needs
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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.

Runcratemarketplace provider

Runcrate is a Berlin-based GPU cloud marketplace aggregating bare-metal and VM instances across 21 GPU types and 11 global regions, with some of the lowest starting prices for on-demand GPU rental available anywhere. The marketplace model gives teams access to H100, A100, and a wide range of other GPU SKUs through a single platform, with flexible spot and on-demand billing. A cost-effective option for EU-based teams needing broad GPU variety and multi-region flexibility.

Billing model comparison

Salad uses a Per-use (serverless) billing model with a minimum commitment of None. Runcrate uses On-demand, Spot 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. Runcrate is best suited for: Cost-sensitive teams, Multi-region deployments, Wide GPU variety needs. Its key strengths are 21 gpu types, 11 global regions, very competitive pricing. 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). Runcrate offers Community → Standard support across 4 regions (EU-Central, US, APAC and 1 more). Runcrate'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 Runcrate

Salad was founded in 2020 and is headquartered in Boston, MA. Runcrate was founded in 2024 and is headquartered in Berlin, Germany. Salad has 4 years more operational history than Runcrate, 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.