{
  "slug": "digitalocean-paperspace",
  "name": "DigitalOcean Paperspace",
  "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.",
  "url": "https://optimly.ai/brand/digitalocean-paperspace",
  "logoUrl": "",
  "baiScore": 74,
  "archetype": "Challenger",
  "category": "Cloud Computing",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [
    {
      "slug": "coreweave",
      "name": "Coreweave"
    },
    {
      "slug": "lambda-labs",
      "name": "Lambda Labs"
    }
  ],
  "inboundCompetitors": [
    {
      "slug": "cloud-gpu-rental-awsazuregcp",
      "name": "Cloud Gpu Rental Awsazuregcp"
    }
  ],
  "aiAlternatives": [],
  "parentBrand": {
    "slug": "digitalocean",
    "name": "DigitalOcean"
  },
  "subBrands": [],
  "updatedAt": "2026-04-11T17:25:24.832+00:00",
  "verifiedVitals": {
    "website": "https://www.paperspace.com",
    "founded": "2014 (Paperspace), 2023 (as DO Paperspace)",
    "headquarters": "New York, NY",
    "pricing_model": "Usage-based (hourly GPU billing) with some subscription-based tiers for Gradient.",
    "core_products": "Managed GPU Virtual Machines (H100, A100, A6000), Gradient (ML platform), DigitalOcean Managed Kubernetes with GPU nodes.",
    "key_differentiator": "Combines DigitalOcean's signature simplicity with specialized, high-tier GPU hardware and managed ML workflows that are easier to deploy than AWS or GCP.",
    "target_markets": "AI/ML Startups, independent data scientists, research institutions, and small-to-medium enterprise engineering teams.",
    "employee_count": "Not publicly available",
    "funding_stage": "Not publicly available",
    "subcategory": "GPU Cloud & AI Infrastructure"
  },
  "timestamp": 1775983917487
}