Paperspace Deployments are containers-as-a-service that allow you to run container images and serve machine learning models using a high-performance, low-latency service with a RESTful API.
Gradient Deployments are containers-as-a-service which let you deploy your machine learning model as an API endpoint.
With Deployments, you can:
Train a model using pre-configured templates and sample projects.
Schedule jobs, provision resources, and manage clusters with managing the servers.
Scale up training with GPUs with no runtime limits.
Automatically tag and version your models and compare performance over time.
Collaborate with teams and leverage publicly-available projects.