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QuantaCloud vs Salad: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Bare-metal
Marketplace
Founded
2021
2018
Headquarters
United States
Boston, MA
Billing model
Reserved / On-demand
Per-second on-demand, Reserved contracts (Dedicated)
Min commitment
Varies by config
None (Community Cloud)
Support tier
Standard → Enterprise
Community → Enterprise
Regions
1 regions
3 regions

Strengths & Best For

QuantaCloud

QuantaCloud provides bare-metal A100, H100, H200, and B300 GPU clusters with InfiniBand interconnect and no virtualization overhead, purpose-built for large-scale LLM training and multi-node distributed AI workloads. Reserved and cluster configurations are available for organizations that need dedicated GPU infrastructure with consistent performance for long-running training runs. A specialist bare-metal GPU cloud for AI labs and enterprises that need maximum cluster performance for frontier model training.

Strengths
  • Bare-metal performance
  • InfiniBand networking
  • Large cluster configs
  • H200 and B300 availability
Weaknesses
  • Bare-metal focused — requires more infrastructure management
  • Limited self-service tooling
  • Smaller ecosystem vs cloud providers
Best For
Large-scale LLM trainingMulti-node clustersReserved GPU capacity
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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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Region Coverage

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Key differences

QuantaCloud

Bare-metal GPU cloud with A100, H100, and H200 clusters

Salad

RTX 5090, RTX 4090 (Lowest priority) — distributed idle GPUs, per-second billing

AttributeQuantaCloudSalad
Provider typebare-metalmarketplace
Billing modelReserved / On-demandPer-second on-demand, Reserved contracts (Dedicated)
Min commitmentVaries by configNone (Community Cloud)
Regions1 (US)3 (US, EU, Global (190+ countries))
Support tierStandard → EnterpriseCommunity → Enterprise
Best forLarge-scale LLM training, Multi-node clustersBatch image generation and video AI at lowest cost, LLM inference via AI Gateway
Founded / HQ2021 · United States2018 · Boston, MA