You aren’t limited to the public models on Replicate: you can deploy your own custom models using Cog, our open-source tool for packaging machine learning models.

Unlike public models, most private models (with the exception of fast booting models) run on dedicated hardware so you don't have to share a queue with anyone else. This means you pay for all the time instances of the model are online: the time they spend setting up; the time they spend idle, waiting for requests; and the time they spend active, processing your requests. If you get a ton of traffic, we automatically scale up and down to handle the demand.

For fast booting models you'll only be billed for the time the model is active and processing your requests, so you won't pay for idle time like with other private models. Fast booting versions of models are labeled as such in the model's version list.

As with public models, if you would like more control over how a private model is run, you can use a deployments.