Paperspace – The Cloud Platform Built for the Future

Paperspace – The Cloud Platform Built for the Future

Meet Paperspace – company that offers an effortless way to access and manage limitless computing power in the cloud

Revenue: 23 MLocation: New York, USA
Founded: 2014Specialties: Artificial Intelligence, Cloud Computing, Enterprise Software, GPU, Machine Learning

Whether you’re a data scientist, a machine learning enthusiast, a researcher, or a professional, organizing your work environment can be very complex and distracting process. Even when you’re done dealing with installation and version compatibility issues, you’ll face challenges around cloning the latest models, sharing your results with others, and simply keeping track of your work. To make matters worse, many cloud GPUs are prohibitively expensive.

However, your troubles are over! Paperspace, a Brooklyn-based AI startup offers a brilliant solution for all of these problems. Their platform powers a range of use-cases including deep learning, 3D graphics, data exploration, gaming, and enterprise VDI. They developed Gradient – machine learning platform as a service (PaaS) to run in enterprise data centers, hybrid cloud, and multi-cloud environments. 

What is Gradient?

It is one of the first ML PaaS solutions in the industry to offer an end-to-end lifecycle management of machine learning models. The platform includes everything from developing, training, tuning, and deploying ML models. The latest iteration gives choice of cloud and on-prem environments to customers.


Gradient PaaS has three building blocks – Notebooks, Jobs, and Storage.

Gradient Community Notebooks is a free cloud GPU service based on Jupyter notebooks that radically simplifies the process of machine learning and AI development. Now, developers working with popular deep learning frameworks such as PyTorch, TensorFlow, and Keras, can easily launch powerful free GPU instances and collaborate on their ML projects.

Gradient Community Notebooks are public, shareable Jupyter Notebooks that run on free cloud GPUs and CPUs. Notebooks can be run on any DL or ML framework, preconfigured to work out of the box. With their own container or choose user can select wide range of templates complete with popular drivers and dependencies, like CUDA and cuDNN.


How to start your Gradient Community Notebook?

Getting started with your first Free GPU Notebook is incredibly easy.

  • Create a free account
  • Select your instance (M4000 or P5000 cloud GPU, or C3 cloud CPU)
  • Launch your own Notebook, or fork a ready-to-run project from the ML showcase or Community

You can run an unlimited number of sessions for up to 6 hours at a time. Your Notebook will remain fully versioned, and you can restart your instance to run for another 6 hours as many times as you like.

What are their other products?

Tens of thousands of individuals, startups and enterprises use Paperspace to power a range of next-generation applications. It is the way to make cloud GPU resources more accessible to the community. Company also provides other products to their customers:



It is a fully-managed enterprise GPU cloud platform. It provides a CPU or GPU accelerated Windows or Linux instance with a range of networking, storage, and OS options. Also, it contains full desktop environments as well as servers with SSH or web-based terminal access.

Paperspace API

An entire GPU cloud at your fingertips. It is the official devkit for automating your Paperspace account. Also, it will initially be available in JavaScript and other languages and integrations follow shortly after.