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Paperspace is a cloud-based machine learning platform that offers GPU-powered virtual machines and a Kubernetes-based container service.


Paperspace offers Notebooks, Deployments, Workflows, and Machines for developing, training, and deploying AI applications.

Notebooks are a web-based Jupyter IDE with shared persistent storage for long-term development and inter-notebook collaboration, backed by accelerated compute.
Deployments are containers-as-a-service that let you run container images and serve machine learning models.
Workflows automate machine learning tasks, combining GPU instances with an expressive syntax to generate production-ready machine learning pipelines with a few lines of code.
Machines are high-performing computing for scaling AI applications.

Developer Tools

API keys let you interact with Paperspace through the CORE RESTful API, the CORE Javascript SDK, and Gradient command-line utility (CLI). API Keys have team-scoped permissions and are associated with your user account.
Install and use the Gradient Command Line Interface.
Core provides a RESTful API and a number of client libraries to manage Machine compute resources programmatically.
Install and use the new Paperspace Command Line Interface.

Paperspace Resources

Create a Paperspace account.
Curated list of interactive ML sample projects.
View and post questions.
Paperspace personal accounts provide each user with a private workspace that has a unique namespace. Teams let you collaborate with others.
A list of Paperspace services and their pricing.

Latest Updates

20 March 2024

  • A100-80G machines with 2 and 4 GPUs are now discontinued. You can choose the dedicated GPU A100-80G machine or the multi-GPU A100-80G machine with 8 GPUs instead.

26 February 2024

21 December 2023

  • NVIDIA H100 GPUs are now available both on-demand and for guaranteed capacity reservations in the NYC2 region via Paperspace’s sales team. For more information, see the Paperspace NVIDIA H100 reference page.

  • Gradient Deployments can now be created with secured endpoints using basic access authentication encoded tokens. For more information, see Endpoint Security.

  • We have released an updated Container Registry experience to give customers enhanced management of their private registries. This includes additional features to add, validate, and edit containers, as well as changes to ensure Gradient Deployments with containers start successfully. For more information, see Manage Containers.

For more information, see the full release notes.