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Paperspace is a cloud built around graphics processing units, the kind of hardware that trains machine learning models, renders 3D scenes and runs heavy compute jobs. It is not a place to park a WordPress blog. If you need a standard web host, this is the wrong tool. If you are training a neural network or rendering video and your laptop is gasping, Paperspace rents you the muscle by the hour. This review walks through what it offers, how much it costs and where it fits.
What Paperspace actually is
Paperspace started in 2014 and was bought by DigitalOcean in 2023. It gives you two main ways to work. Gradient is a notebook and pipeline service aimed at machine learning teams, so you open a Jupyter notebook backed by a real GPU and start coding. Core is a set of virtual machines you can spin up with a GPU attached, treat like a remote desktop or a build server, and shut down when you are done. Both bill by usage rather than locking you into a yearly plan.
GPU options and pricing
The lineup runs from modest cards to serious data center silicon. Entry GPUs start around $0.80 per hour, and the price climbs as you move up to cards with more memory built for large model training. You pay for the time a machine is running, so a short experiment costs very little while a multi day training run adds up. There are free notebook tiers with limited GPU access, which are handy for learning or small tests before you commit real money.
Performance and developer experience
The Gradient notebooks launch quickly and come with common machine learning libraries already set up, so you spend less time installing packages and more time working. Core machines behave like normal Linux or Windows boxes, which makes them friendly for rendering, simulation or remote workstation use. The dashboard is clean and does not bury the important buttons. Storage is persistent, so your data survives when you stop a machine, though you pay a small amount to keep it around.
Where Paperspace fits
This is a good pick for solo researchers, small AI teams, indie developers and creative professionals who need GPU power now and then without buying a $2000 graphics card. It also suits people already using DigitalOcean who want compute in a familiar family of products. It is a poor fit if you only need to host a website, run a database or send email, since those jobs do not need a GPU and cheaper hosts handle them better. Think of Paperspace as a complement to your regular web host, not a replacement for it.
You can read more background on cloud graphics processing at Wikipedia, and browse other options in our hosting reviews.
Frequently Asked Questions
Is Paperspace a web host?
No. Paperspace rents GPU cloud machines for AI, machine learning and rendering. For a normal website you would use a standard web host instead, and treat Paperspace as extra compute when a project needs a GPU.
How much does Paperspace cost?
Pricing is by the hour. Entry level GPUs start near $0.80 per hour and go up for higher memory cards. You only pay while a machine runs, plus a small fee for persistent storage, and there are free notebook tiers for light use.
What is the difference between Gradient and Core?
Gradient is a managed notebook and pipeline service for machine learning work. Core gives you full virtual machines with a GPU attached, which you can use like a remote workstation or build server. Many people use both.
Who owns Paperspace?
DigitalOcean acquired Paperspace in 2023. The service still runs under the Paperspace brand and now sits alongside DigitalOcean’s other cloud products, which is convenient if you already use that platform.