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Salad vs Vultr: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Marketplace
Specialist
Founded
2018
2014
Headquarters
Boston, MA
Matawan, NJ
Billing model
Per-second on-demand, Reserved contracts (Dedicated)
On-demand (hourly)
Min commitment
None (Community Cloud)
None
Support tier
Community → Enterprise
Basic → Enterprise
Regions
3 regions
5 regions

Strengths & Best For

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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Vultr

Vultr offers H100, A100, L40S, RTX 6000 Ada, and RTX 4000 Ada GPU instances across 32 global locations with simple hourly billing and no long-term commitment required. A developer-friendly GPU cloud with a clean API, straightforward pricing, and broad geographic coverage for teams needing AI inference or training capacity close to their users. Vultr Cloud GPU instances include dedicated VRAM, NVMe storage, and generous transfer allowances. A solid choice for global deployment of AI workloads without the complexity of hyperscaler pricing models.

Strengths
  • 32 global locations — wide geographic coverage among specialist GPU clouds
  • Simple hourly billing — no long-term commitment
  • H100, A100, L40S, RTX 6000/4000 Ada in catalog
  • Clean API and developer-friendly onboarding
  • Generous transfer allowances included
Weaknesses
  • Smaller GPU catalog than specialist AI clouds
  • Less ML-focused tooling vs CoreWeave or Lambda
  • Limited spot/preemptible GPU options
Best For
Global deployment of AI workloadsSimple inference and training workloadsDeveloper-friendly teams wanting simple billingTeams needing GPU capacity in emerging regions
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Region Coverage

Salad — 3 regions
USEUGlobal (190+ countries)

Popular Comparisons

Key differences

Salad

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

Vultr

H100, A100, L40S, RTX 4000/6000 Ada — simple hourly billing across 32 global locations

AttributeSaladVultr
Provider typemarketplacespecialist
Billing modelPer-second on-demand, Reserved contracts (Dedicated)On-demand (hourly)
Min commitmentNone (Community Cloud)None
Regions3 (US, EU, Global (190+ countries))5 (US, EU, APAC, +2)
Support tierCommunity → EnterpriseBasic → Enterprise
Best forBatch image generation and video AI at lowest cost, LLM inference via AI GatewayGlobal deployment of AI workloads, Simple inference and training workloads
Founded / HQ2018 · Boston, MA2014 · Matawan, NJ