Paperspace
GPU cloud for ML teams with notebooks, MLOps workflows, and on-demand machines.
Acquired — still operating
acquired by DigitalOcean 2023
About
Paperspace is a GPU cloud platform for AI, ML, and 3D rendering workloads, acquired by DigitalOcean in 2023. It combines on-demand GPU/CPU machines (Core), the Gradient ML workflow stack (Notebooks, Datasets, Models, Workflows), and container-based Deployments under one team-scoped REST API. Compute spans H100, A100, A6000, V100, and older SKUs with per-second billing, and DigitalOcean positions it as the GPU arm of its AI-native cloud.
The honest caveats: post-acquisition, Paperspace's roadmap increasingly tracks DigitalOcean's AI-native cloud strategy — the standalone brand's long-term shape is unclear, and Gradient's feature velocity has slowed relative to competitors like Lambda Labs and RunPod. Free-tier GPU notebooks are capacity-dependent. For startups already on DigitalOcean it is the natural fit; others should compare per-hour pricing and region coverage before committing.
What it can do
- On-demand GPU machines (H100/A100/A6000)
- Gradient ML notebooks and workflows
- Container-based model deployments
- Per-second billing with free tier
- Team-scoped REST API and CLI
Setup
Sign up at paperspace.com, create a Notebook or spin up a Core machine from the console or CLI.
Prerequisites
A Paperspace account; payment method for paid GPU tiers.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 85; Trending score 80/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.