Salad: Utilizes distributed consumer hardware to drastically lower inference costs, but cannot match enterprise GPU availability or SLA guarantees. RunPod records 2,881,043 monthly visits with +5.9% month-over-month growth and Paid pricing. Salad records 713,519 monthly visits with +10.4% growth and Free Trial, Paid, Contact for Pricing pricing.
The AI developer cloud for GPU pods, serverless inference and clustering
Distributed GPU cloud that orchestrates the world's idle consumer GPUs
| Dimension / Metric | | |
|---|---|---|
| Official Domain | runpod.io | salad.com |
| Pricing Model | Paid | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 2.88M (2,881,043) | 713.52K (713,519) |
| MoM Traffic Delta | +161.49K (+5.9%) | +67.49K (+10.4%) |
| Primary Market & Share | 🇺🇸 United States (26.1%) | 🇺🇸 United States (40.9%) |
| Direct Visits / mo | 1.63M | 440.92K |
| User Rating | 4.7 | 4.3 |
| Supported Platforms | Website | Website |
The AI developer cloud for GPU pods, serverless inference and clustering
Rent GPU instances with on-demand, interruptible or reserved capacity across more than 30 GPU SKUs, from RTX 4090s up to B200 and B300 class accelerators, deployed in 31 global regions.
Deploy any container as an API endpoint that scales from zero to thousands of workers on demand and bills only for the compute you actually use.
Launch multi-node GPU clusters for distributed training and large inference jobs, with shared storage attachable and no long-term commitment required.
Deploy popular open-source models from a curated hub, or use public endpoints for image, audio and text models without managing infrastructure.
Distributed GPU cloud that orchestrates the world's idle consumer GPUs
Schedules, monitors and reallocates Docker/OCI workloads across thousands of distributed GPU nodes, with failover when nodes disappear.
On-demand access to a distributed pool of idle consumer GPUs across 190+ countries with priority pricing from about $0.015 per GPU-hour.
A managed token endpoint for open-weight models priced per token, with your data never used for training.
Run the same orchestration stack inside your organisation, pooling idle workstation GPUs into an internal OpenAI-compatible service.
SpecialistProvides a unified API gateway across hundreds of models, but entirely abstracts away underlying GPU infrastructure management.
SpecialistProvides a unified API gateway across hundreds of models, but entirely abstracts away underlying GPU infrastructure management.
SpecialistSpecializes in lightning-fast serverless execution for generative media models, but lacks general-purpose GPU pod rental options.
SpecialistSpecializes in lightning-fast serverless execution for generative media models, but lacks general-purpose GPU pod rental options.
SpecialistSpecializes in managed serverless inference APIs for open-source models, rather than raw GPU infrastructure rentals.
SpecialistSpecializes in managed serverless inference APIs for open-source models, rather than raw GPU infrastructure rentals.
Provides an extensive peer-to-peer GPU marketplace with lower prices, but requires more manual configuration.
Provides an extensive peer-to-peer GPU marketplace with lower prices, but requires more manual configuration.
SpecialistDelivers effortless Python serverless execution for AI pipelines, but focuses on function-as-a-service rather than raw VMs.
SpecialistDelivers effortless Python serverless execution for AI pipelines, but focuses on function-as-a-service rather than raw VMs.
Supplies enterprise-grade NVIDIA GPU clusters and managed ML tooling, but at a higher professional price point.
Supplies enterprise-grade NVIDIA GPU clusters and managed ML tooling, but at a higher professional price point.
Offers a polished API and cloud platform for running open models, but provides less direct infrastructure-level control than RunPod.
Offers a polished API and cloud platform for running open models, but provides less direct infrastructure-level control than RunPod.
SpecialistOffers extremely cheap serverless model hosting via API, but does not provide raw containerized GPU instances.
Provides managed development studios and guaranteed on-demand GPUs, but with a more structured framework-centric workflow than RunPod.
Provides managed development studios and guaranteed on-demand GPUs, but with a more structured framework-centric workflow than RunPod.
Combines serverless model APIs with on-demand GPU instances, offering a similar developer experience at competitive global price points.
Focuses on large-scale enterprise GPU clusters for training, rather than lightweight consumer container workloads.
Focuses on large-scale enterprise GPU clusters for training, rather than lightweight consumer container workloads.
Features second-billed persistent SSH GPU instances, but lacks a distributed consumer hardware backbone.
Features second-billed persistent SSH GPU instances, but lacks a distributed consumer hardware backbone.
