Deployments Features
Validated on 14 Dec 2023 • Last edited on 13 Feb 2024
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:
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Train a model using pre-configured templates and sample projects.
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Schedule jobs, provision resources, and manage clusters with managing the servers.
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Scale up training with GPUs with no runtime limits.
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Automatically tag and version your models and compare performance over time.
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Collaborate with teams and leverage publicly-available projects.