Using volumes to optimize cold starts on RunPod
Deploying custom models in the cloud often faces the challenge of cold start times, including the time to provision a new instance and download the model. This is especially relevant for services with autoscaling when new model replicas need to be provisioned quickly.
Let's explore how dstack optimizes this process using volumes, with an example of
deploying a model on RunPod.
