QuickPod records 7,171 monthly visits with -70.4% 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.
Cheap on-demand GPU and CPU pods, ready in one click
Distributed GPU cloud that orchestrates the world's idle consumer GPUs
| Dimension / Metric | | |
|---|---|---|
| Official Domain | quickpod.io | salad.com |
| Pricing Model | Paid | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 7.17K (7,171) | 713.52K (713,519) |
| MoM Traffic Delta | -17.07K (-70.4%) | +67.49K (+10.4%) |
| Primary Market & Share | 🇮🇩 Indonesia (100%) | 🇺🇸 United States (40.9%) |
| Direct Visits / mo | 2.99K | 440.92K |
| User Rating | 4 | 4.3 |
| Supported Platforms | Website | Website |
Cheap on-demand GPU and CPU pods, ready in one click
Launch on-demand docker pods with GPU or CPU compute from one interface and scale up or down as workloads change.
Every pod ships with a Jupyter environment ready for TensorFlow, PyTorch or any framework you prefer.
Choose from a broad set of locations worldwide so compute sits close to your datasets and end users.
On-demand CPU and GPU pricing is published in the console, so you can compare instance types before you launch.
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.
Offers reliable dedicated and serverless GPU rentals, but lacks Salad's ultra-low-cost peer-to-peer consumer hardware pool.
Offers reliable dedicated and serverless GPU rentals, but lacks Salad's ultra-low-cost peer-to-peer consumer hardware pool.
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.
SpecialistOffers extremely cheap serverless model hosting via API, but does not provide raw containerized GPU instances.
Free / Open-sourceThe AI cloud built by the creators of PyTorch Lightning
Free / Open-sourceThe AI cloud built by the creators of PyTorch Lightning
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.
Agent-first GPU cloud: rent NVIDIA pods by the second from your terminal or API
Agent-first GPU cloud: rent NVIDIA pods by the second from your terminal or API
SpecialistScales distributed Ray workloads effortlessly across clusters, but is tailored for heavy data engineering and training.
SpecialistScales distributed Ray workloads effortlessly across clusters, but is tailored for heavy data engineering and training.
SpecialistOptimizes fast cold starts for real-time model inference, but lacks generalized container orchestration features.
SpecialistOptimizes fast cold starts for real-time model inference, but lacks generalized container orchestration features.
