# Digitalocean Paperspace

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/digitalocean-paperspace
- **Dataset:** https://optimly.ai/brand/digitalocean-paperspace.json
- **Markdown:** https://optimly.ai/brand/digitalocean-paperspace/llms.txt
- **Official website:** https://paperspace.com
- **Slug:** digitalocean-paperspace
- **Categories:** ai-machine-learning, cloud-infrastructure, developer-tools

## Overview

- **Tagline:** Combines DigitalOcean's signature simplicity with specialized, high-tier GPU hardware and managed ML workflows that are easier to deploy than AWS or GCP.
Source: Brand's website (https://paperspace.com) · 2026-10-04

- **Description:** DigitalOcean Paperspace is a specialized cloud platform providing high-performance GPU infrastructure for AI and machine learning applications. It offers managed services for training, deploying, and scaling ML models, including collaborative Jupyter-based environments and virtual machines. Since its acquisition in 2023, it has functioned as the dedicated AI/ML compute division of DigitalOcean.
Source: Brand's website (https://paperspace.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Managed GPU Virtual Machines (H100
  - A100
  - A6000)
  - Gradient (ML platform)
  - DigitalOcean Managed Kubernetes with GPU nodes.
Source: Brand's website (https://paperspace.com) · 2026-10-04

- **Pricing:** Usage-based (hourly GPU billing) with some subscription-based tiers for Gradient.
Source: Brand's website (https://paperspace.com) · 2026-10-04

## Audience

- **Target industry:** AI/ML Startups, independent data scientists, research institutions, and small-to-medium enterprise engineering teams.
Source: Brand's website (https://paperspace.com) · 2026-10-04

## Landscape

- **Competitors:**
  - Lambda Labs
  - CoreWeave
  - Google Colab Enterprise
  - Vultr GPU
Source: Brand's website (https://paperspace.com) · 2026-10-04

Page last updated 2026-10-17.