BenchRank
#7 in Model Hosting & InferenceUpdated 2026-08

Paperspace

by Paperspace · Cloud GPU notebooks, training machines and model deployments

53.3 — BenchRank score out of 100

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Overview

Paperspace, now part of DigitalOcean, is a cloud GPU platform for building AI and ML models. You launch a Notebook to prototype, train or fine-tune on GPU machines, then convert models into scalable API endpoints. Instances use on-demand per-second billing with no runtime limits, and pre-configured templates handle setup.

Best for
ML engineers and small teams wanting on-demand cloud GPUs for notebooks, training and deployment
Pricing
Free plan at $0, Pro at $8/month and Growth at $39/month, each plus utilisation costs on paid instances; Enterprise self-hosting is contact-sales.
Runs on
WebCLI

Strengths and trade-offs

Strengths

  • Per-second billing on GPU instances, cancel anytime
  • Free plan with public projects and 5GB storage
  • Notebooks, training machines and API endpoints in one place
  • Pre-configured templates, no server management

Trade-offs

  • Plan fee is on top of per-instance utilisation costs
  • Storage capped at 5GB free, 15GB Pro, 50GB Growth
  • Pro's faster free GPUs are subject to availability
  • Being folded into DigitalOcean, which pages point to for GPUs

Pricing

Published plans from Paperspace’s own pricing page, in USD. Usage charges and add-ons may apply on top.

Paperspace pricing tiers, monthly rates in USD
PlanMonthlyIncludes
FreeFree
  • Public projects
  • 5GB storage
  • Basic instances
  • Plus utilisation costs on paid instances
Pro$8
  • Private projects
  • 15GB storage
  • Mid-range instances
  • Faster free GPUs, based on availability
Growth$39
  • Private projects
  • 50GB storage
  • High-end instances
  • Expert support
EnterpriseContact sales
  • Host Gradient on your own infrastructure
  • Custom plans via a product specialist

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

MCP support
60 out of 100
API quality
20 out of 100
Documentation
80 out of 100
Agent friendliness
67 out of 100
Pricing transparency
100 out of 100
Changelog
0 out of 100
Marketing site structure
30 out of 100
Operational trust
60 out of 100

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

Openness
60 out of 100
Maintenance
40 out of 100

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