# Paperspace by DigitalOcean

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

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

## Overview

- **Tagline:** Accelerated cloud computing focused on simplicity, speed, and affordability, offering instant access to powerful NVIDIA H100 GPUs and Graphcore IPUs, with infrastructure abstraction to simplify AI/ML development and deployment workflows.
Source: Brand's website (https://paperspace.com) · 2026-10-04

- **Description:** Paperspace, now part of DigitalOcean, provides an accelerated cloud computing platform specializing in GPU-powered infrastructure for developing, training, and deploying AI/ML models, large language models (LLMs), and 3D graphics applications. It offers virtual servers and an ML platform with simple, scalable workflows designed for developers and businesses.
Source: Brand's website (https://paperspace.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - ML platform (Gradient) for building
  - training
  - and deploying Machine Learning models; Virtual servers (Core) offering a fully-managed cloud GPU platform with a range of compute
  - storage
  - and networking options; Portal for low-latency desktop streaming software.
Source: Brand's website (https://paperspace.com) · 2026-10-04

- **Pricing:** On-demand pricing with per-second billing; Free tier available; No commitments; Pay-as-you-go.
Source: Brand's website (https://paperspace.com) · 2026-10-04

## Audience

- **Target industry:** Developers, data scientists, and businesses leveraging AI/ML, large language models (LLMs), generative media, and 3D graphics applications, seeking fast, simple, and scalable cloud computing infrastructure with powerful GPUs.
Source: Brand's website (https://paperspace.com) · 2026-10-04

Page last updated 2026-10-17.