Paperspace (by DigitalOcean)
A cloud-based Jupyter notebook environment with easy access to high-end GPUs for AI research.
Vendor siteVendor certification
Certify your vendor page and info
Work at Paperspace (by DigitalOcean)? Send corrections with evidence. The editor checks the evidence, applies what holds up, and the page then carries a gold star showing the details were vendor-confirmed and checked on a date.
Certification is free. It is not an endorsement, a review score, or a ranking or placement boost, and it cannot be bought. What certification means.
Profile
- Journey stage
- Enablement and coaching
- Ambition level
- Optimize
- Owned by
- Enablement or Data or Revenue Operations or Operations
- Adoption level
- L2 Assisted
- Subcategory
- Model hosting and inference
- Market position
- Challenger
Ownership. Ownership varies by company. Data, Enablement, Revenue Operations or Operations can own this. Pick one accountable owner before you buy, because a shared owner means no owner.
Challenger. Newer or AI-native entrant competing for budget against the platform you already own. Expect to justify it as net new spend and to prove it against the incumbent's bundled feature.
Evidence status: Audited profile. Stage, level and seat are editorial mapping, not vendor statements.
Best for
Data scientists needing a collaborative environment for large-scale GPU computing.
Pricing model
Free tier + Paid GPU machines starting at ~$0.40/hr.
Known limitations
No public limitation documented as of 2026-10-01. Ask the vendor for caps on CRM fields written, supported objects, data lookback, and plan gating in writing.
What teams use it for
- Training deep learning models in a managed cloud environment
- Prototyping generative AI applications with team collaboration
Acquired · July 2023
DigitalOcean acquired Paperspace in July 2023 to expand its AI and GPU cloud offerings.
SourceWhat it claims to do
- Training deep learning models in a managed cloud environment
- Prototyping generative AI applications with team collaboration
Claimed benefit. Data scientists needing a collaborative environment for large-scale GPU computing.
Named use case. Training deep learning models in a managed cloud environment
What has to be true before you buy
- 01The friction is genuinely at enablement and coaching. Buying at the wrong stage moves the bottleneck, it does not remove it.
- 02Ownership varies by company. Data, Enablement, Revenue Operations or Operations can own this. Whoever it is owns the outcome, not just the licence. Unowned tools are adopted for a quarter and then quietly turned off.
- 03You can name the task it replaces and the hours that task costs today. If you cannot, the saving is unmeasurable.
- 04L2 Assisted on the six-level AI Maturity Ladder. AI drafts, a human approves, the workflow stays the same. This is the effort required for the workflow, not a product quality score.
- 05Pricing model on record: Free tier + Paid GPU machines starting at ~$0.40/hr.. Confirm the billable unit and what happens when volume doubles.
- 06We found no published case study for this tool, which does not prove none exists. Treat every number on the vendor site as a claim until you run your own baseline.
Teams named
- Data
- Enablement
Similar tools
Scored on shared segment, tags, use cases, and owning team, not on category alone. Tools that only share a broad category are left out.
- Together AIChallengerSame subcategory: Model hosting and inference; same tags, same use cases, same team
- Amazon SageMakerChallengerSame subcategory: Model hosting and inference; same use cases, same team
- VertaChallengerSame subcategory: Model hosting and inference; same use cases, same team
- Ray (by Anyscale)ChallengerSame subcategory: Model hosting and inference; same use cases, same team
- Cloudflare Workers AIChallengerSame subcategory: Model hosting and inference; same use cases
- Convex AIChallengerSame subcategory: Model hosting and inference; same use cases
Common questions about Paperspace (by DigitalOcean)
What is Paperspace (by DigitalOcean) used for?
A cloud-based Jupyter notebook environment with easy access to high-end GPUs for AI research.
Who owns Paperspace (by DigitalOcean) inside a revenue team?
Ownership varies by company. Data, Enablement, Revenue Operations or Operations can own this. Pick one accountable owner before you buy, because a shared owner means no owner. Teams named on the record: Data, Enablement.
Where does Paperspace (by DigitalOcean) sit in the revenue journey?
Enablement and coaching. Buy it only if that is the stage where the work actually breaks.
Is Paperspace (by DigitalOcean) an optimize, amplify, or reinvent move?
Optimize. You can name the task it replaces and the hours that task costs today. If you cannot, the saving is unmeasurable.
How much effort does Paperspace (by DigitalOcean) take to adopt?
L2 Assisted on the six-level AI Maturity Ladder. AI drafts, a human approves, the workflow stays the same. The level describes the workflow and adoption effort, not the quality of Paperspace (by DigitalOcean).
What evidence exists for Paperspace (by DigitalOcean)?
We found no published case study for this tool. That does not prove none exists. Everything on this page is a vendor claim or an editorial mapping, not a Report benchmark.
How much does Paperspace (by DigitalOcean) cost?
Pricing model on record: Free tier + Paid GPU machines starting at ~$0.40/hr.. Confirm the billable unit and the overage rate before signing.
Category and stage mapping is editorial. Vendor claims are not Report benchmarks. Terms are defined in the AI and Revenue Dictionary.