SaladCloud
Distributed GPU cloud that runs AI inference on idle consumer hardware.
About
SaladCloud is a distributed GPU cloud that pools idle consumer GPUs from a large network of home PCs and rents that capacity to AI teams at a fraction of data center prices. Workloads ship as containers through the Salad Container Engine and scale across thousands of nodes.
The model trades guaranteed uptime on any single node for very low cost, which suits interruptible work such as LLM inference, image generation, transcription, and batch embeddings. The company points to Civitai serving millions of daily image generations on its network, and pricing documents show savings of roughly 80 to 90 percent versus traditional GPU clouds for common inference shapes.
What it can do
- Distributed consumer-GPU network for inference and batch jobs
- Container orchestration with priority tiers
- Built-in transcription and computer vision APIs
- Usage-based pricing from a few cents per GPU hour
Setup
Sign up, containerize the workload, and deploy it through the Salad Container Engine.
Prerequisites
A containerized workload and a SaladCloud account.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 115; Trending score 74/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.