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Paperspace

Developer-friendly GPU cloud platform

Rapidly-catching neocloud๐Ÿ‡บ๐Ÿ‡ธ USbudget

Paperspace (by DigitalOcean) offers dedicated GPUs including H100/HGX H100 and A100 with managed notebooks and workflows.

6
GPU Models
$0.76
From / hour

Available GPUs

Hourly on-demand pricing. Click column headers to sort.

Prices last updated: April 8, 2026

GPU Modelโ†‘
Memoryโ†‘
GPUsโ†‘
vCPUsโ†‘
RAMโ†‘
Typeโ†‘
Price / hrโ†‘
Updatedโ†‘
Source
A100 SXM80GB2x24180 GBOn Demand$3.13/hr4/8/2026
A100 SXM80GB4x48360 GBOn Demand$3.11/hr4/8/2026
A100 SXM80GB8xโ€”โ€”On Demand$3.18/hr4/8/2026
A100 SXM80GB1x1290 GBReserved$1.15/hr4/6/2026
H100 SXM80GB1xโ€”โ€”On Demand$5.95/hr4/8/2026
H100 SXM80GB8xโ€”โ€”On Demand$5.95/hr4/8/2026
H100 SXM80GB1x20256 GBReserved$2.24/hr4/6/2026
RTX A400016GB1xโ€”โ€”On Demand$0.76/hr4/8/2026
RTX A400016GB2x1690 GBOn Demand$0.80/hr4/8/2026
RTX A400016GB4x32180 GBOn Demand$0.80/hr4/8/2026
RTX A500024GB1xโ€”โ€”On Demand$1.38/hr4/8/2026
RTX A500024GB2x1690 GBOn Demand$1.42/hr4/8/2026
RTX A500024GB4x32180 GBOn Demand$1.42/hr3/31/2026
RTX A600048GB1xโ€”โ€”On Demand$1.89/hr4/8/2026
RTX A600048GB2x1690 GBOn Demand$1.93/hr4/8/2026
RTX A600048GB4x32180 GBOn Demand$1.93/hr4/6/2026
RTX A600048GB8xโ€”โ€”On Demand$0.95/hr4/8/2026
Tesla V10032GB1xโ€”โ€”On Demand$2.30/hr4/8/2026
Tesla V10032GB8xโ€”โ€”On Demand$1.15/hr4/8/2026

Pros & Cons

Advantages

  • User-friendly interface and easy to get started
  • Wide range of NVIDIA GPU options
  • Free GPU and CPU plans for notebooks
  • Pay-per-second billing model
  • Comprehensive MLOps platform (Gradient)
  • Strong community forum and extensive documentation

Limitations

  • Limited data center regions (US and Europe)
  • Some user reports of inconsistent customer support
  • Availability of high-end multi-GPU instances can be limited
  • The platform is undergoing changes after being acquired by DigitalOcean

Key Features

Gradient Notebooks

Interactive Jupyter notebooks with a free tier, pre-configured templates, and access to powerful GPUs.

Gradient Deployments

Serve machine learning models as scalable API endpoints.

Core Machines

High-performance virtual machines with a wide variety of NVIDIA GPUs for demanding workloads.

Team Collaboration

Features for teams to collaborate on projects, including shared drives and SSO.

Persistent Storage

Offers persistent storage that can be shared across different machines and notebooks.

API and CLI

Programmatic access to the Paperspace platform to automate workflows.

Compute Services

Core GPU Instances

Virtual machines with a wide range of NVIDIA GPUs for various workloads.

Gradient Notebooks

Managed Jupyter notebooks for interactive development and experimentation.

  • Free CPU and GPU tiers
  • 1-click launch with pre-configured templates
  • Persistent storage for your projects
  • Collaboration features for teams

Gradient Deployments

A serverless product for deploying trained models as REST APIs.

  • Scalable and managed infrastructure
  • Integration with Gradient Notebooks and Workflows
  • Real-time monitoring of deployed models

Dedicated GPUs

Onโ€‘demand GPU VMs and notebooks with flexible pricing.

Availability & Support

Regions

Data centers are located in the US (Secaucus, NJ and Santa Clara, CA) and Europe (Amsterdam, NL).

Support

Support is available through a community forum, extensive documentation, and a support ticket system.

Getting Started

  1. 1

    Create an Account

    Sign up for a Paperspace account. You can start with a free plan.

  2. 2

    Choose a Product

    Select the product that best fits your needs, such as Gradient Notebooks for interactive development or Core Machines for more control.

  3. 3

    Select a Template and Machine

    Choose a pre-configured template for your desired framework and select a GPU or CPU instance.

  4. 4

    Start Working

    Launch your machine or notebook and begin building, training, or deploying your AI applications.

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