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Novita vs Salad: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Specialist
Marketplace
Founded
2023
2018
Headquarters
San Francisco, CA
Boston, MA
Billing model
Per-token (inference), On-demand / Spot (GPU cloud)
Per-second on-demand, Reserved contracts (Dedicated)
Min commitment
None
None (Community Cloud)
Support tier
Community → Enterprise
Community → Enterprise
Regions
3 regions
3 regions

Strengths & Best For

Novita

Novita has grown into a dual-product platform: a GPU cloud for training and fine-tuning (H100 SXM, A100, RTX 4090) and a high-volume LLM inference API serving 100+ open-source models at some of the lowest per-token rates in the market. In 2025–2026 Novita expanded its model catalog to include Llama 3.1/3.2, Qwen 2.5, DeepSeek V3/R1, and Mistral variants, and introduced batch inference pricing for high-volume workloads at up to 50% discount. The GPU cloud side offers fast provisioning (typically under 3 minutes), pre-built Docker environments for PyTorch and JAX, and persistent storage volumes. A practical choice for cost-conscious teams that want both raw GPU access and a cheap inference API from one provider.

Strengths
  • Among the lowest per-token LLM inference pricing in the market
  • Batch inference API at up to 50% discount for high-volume workloads
  • 100+ open-source models including Llama 3.2, Qwen 2.5, DeepSeek R1
  • Fast GPU provisioning — typically under 3 minutes
  • Pre-built PyTorch and JAX environments reduce setup time
Weaknesses
  • Smaller provider — cluster scale limited vs CoreWeave or Lambda for very large jobs
  • Inference API latency trails Fireworks and Cerebras on speed benchmarks
  • Less mature enterprise support and SLA options
Best For
Cost-optimized LLM inference at scaleStartups needing cheap inference API + GPU training from one vendorBatch processing workloads with high token volumesTeams fine-tuning Llama or Qwen on a budget
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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

Salad — 3 regions
USEUGlobal (190+ countries)

Popular Comparisons

Key differences

Novita

GPU cloud and LLM inference API — H100, A100, and 100+ open-source models

Salad

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

AttributeNovitaSalad
Provider typespecialistmarketplace
Billing modelPer-token (inference), On-demand / Spot (GPU cloud)Per-second on-demand, Reserved contracts (Dedicated)
Min commitmentNoneNone (Community Cloud)
Regions3 (US, EU, APAC)3 (US, EU, Global (190+ countries))
Support tierCommunity → EnterpriseCommunity → Enterprise
Best forCost-optimized LLM inference at scale, Startups needing cheap inference API + GPU training from one vendorBatch image generation and video AI at lowest cost, LLM inference via AI Gateway
Founded / HQ2023 · San Francisco, CA2018 · Boston, MA