Significantly reduces compute costs compared to major public clouds or self-hosting.
Simplifies AI/ML infrastructure management, allowing focus on model development.
Offers flexible, on-demand scaling with no long-term commitments.
Provides a comprehensive platform for the entire ML lifecycle, from development to deployment.
Includes collaboration features for team-based projects.

Cons

Specific instance types and their availability may vary.
Free tier has limitations on storage and auto-shutdown duration.

What is Paperspace?

Paperspace, now part of DigitalOcean, provides an accelerated cloud computing platform specifically designed for AI and Machine Learning workloads. It offers access to powerful GPUs, including NVIDIA H100, enabling users to develop, train, and deploy AI applications efficiently. The platform is built to simplify complex infrastructure management, allowing individuals and teams to focus on model development rather than server maintenance. It supports the entire ML lifecycle from launching notebooks for proof-of-concept to training and fine-tuning models, and finally converting them into scalable API endpoints. The platform caters to a wide range of users, from individual ML engineers and data scientists to large teams and startups. It emphasizes speed, affordability, and scalability, offering low-cost GPUs with per-second billing and no long-term commitments. Paperspace aims to remove infrastructure bottlenecks, providing features like instant provisioning, job scheduling, resource provisioning, and automatic versioning. It also includes collaboration tools and insights for team management, making it a comprehensive solution for building and scaling next-generation AI applications.

Available on: Web

Data compiled by Toolradar Pricing checked Oct 18, 2026 · How we evaluate

Source paperspace.com

Ratings Across the Web

3 (135 reviews)

Paperspace holds an aggregate rating of 3 out of 5 from 135 reviews across G2, Capterra and Trustpilot, last checked September 17, 2026.

Trustpilot 99 reviews

1.5/5

Ratings aggregated from independent review platforms. Learn more

Key Features

NVIDIA H100 GPU access for AI/ML workloads
ML platform for building, training, and deploying models (Gradient)
Fully-managed cloud GPU platform (CORE)
1-click hosted Jupyter Notebooks
End-to-end MLOps capabilities
Low-cost GPUs with per-second billing
On-demand pricing with no commitments
Instant provisioning of instances

Pricing Plans

Pricing checked Oct 18, 2026. Source: paperspace.com/pricing, read Oct 18, 2026

Paperspace plans and prices, checked October 2026
Plan	Price	Details
Free	$0	FREE GPU Public projects Auto-shutdown (12 hour limit) +2 more Show less 5GB storage Basic instances
Pro	$8 / month	Private projects 15GB storage Auto-shutdown (configurable) +2 more Show less Mid-range instances Faster free GPUs (based on availability)
Growth	$39 / month	Private projects 50GB storage Auto-shutdown (configurable) +2 more Show less High-end instances Expert Support
T0 Small Teams	$0 + utilization costs on paid instance types	Low Instance Types Public Notebooks 10GB Persistent Storage included +3 more Show less Auto-shutdown (12 hour limit) Total Notebooks: 10 Running Notebook limit: 1
T1 Mid-Size Teams	$12 user/month	Low - Mid Instance Types Private Notebooks 500GB Persistent Storage included +3 more Show less Auto-shutdown (configurable) Total Notebooks: 100 Running Notebook limit: 10
T2 Large Teams	Contact Sales	Low - High Instance Types Private Notebooks Scalable Storage +3 more Show less Auto-shutdown (configurable) Unlimited Notebooks Unlimited Running Notebooks
Enterprise	Contact Sales	Host Gradient on your own infrastructure Run without limits Custom plans

Calculate your cost View full pricing

Is Paperspace worth the price?

Good value

Paperspace offers a generous Free tier with actual GPU access, which is rare.

The Pro tier at $8/month provides good value for individuals needing private projects and more storage. However, the team tiers quickly become utilization-based or require sales contact, which can be less transparent.

It's best for individual developers and small teams looking for accessible GPU resources.

Hidden Costs & Gotchas

Scalable storage costs for large teams

Full Paperspace pricing: every plan, hidden costs and alternatives

Paperspace by the numbers

Toolradar data: Paperspace's entry paid plan ($8/mo, billed monthly) ranks #2 of 12 for price among the AI Model Deployment tools with a verified entry price and no stated unit, where the median is $54.50/mo. As of Oct 2026.

Paperspace compared with 44 AI Model Deployment tools on Toolradar, as of Oct 2026
Metric	Paperspace	Peer median	Position (1 is best)
Entry paid plan	$8/mo, billed monthly	$54.50/mo	#2 of 12 tools with no stated price unit, verified price
Free plan	Yes	31 of 44 have one	n/a
Listed as an alternative to	14 tools	2	#4 of 44 (joint)
User rating	3.0/5 (across the web, 135 ratings)	4.4/5	#8 of 8 tools with 20+ reviews

Each position is counted among the tools that have data for that row, as noted under it. A lower entry price ranks higher; prices are read on vendor pages and compared only with tools priced on the same basis. All AI Model Deployment data · How we compute this. Advertising and placement fees are not inputs to any position.

Cite this: Toolradar, “Paperspace by the numbers”, Oct 2026.

Reviews

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3.0/5

Across 135 verified user reviews on Trustpilot, Capterra, G2

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Best Paperspace Alternatives

Top alternatives based on features, pricing, and user needs.

RunPod Paid

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4.1

CoreWeave Paid

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Lambda Labs Paid

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

Paperspace vs RunPod Head-to-head: features, pricing, who wins Paperspace vs CoreWeave Head-to-head: features, pricing, who wins Paperspace vs Lambda Labs Head-to-head: features, pricing, who wins

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Paperspace FAQ

How does Paperspace support the entire machine learning lifecycle?

Paperspace provides a comprehensive platform that supports the entire ML lifecycle, from launching notebooks for proof-of-concept to training and fine-tuning models. It also enables converting models into scalable API endpoints for deployment. This allows users to manage their AI applications from development to production within a single environment.

Which teams would benefit most from using Paperspace?

Paperspace is designed for a wide range of users, including individual ML engineers, data scientists, and large teams or startups. It is particularly beneficial for those who need to build and scale next-generation AI applications efficiently. The platform's collaboration tools and simplified infrastructure management support team-based projects effectively.

How is Paperspace priced?

Paperspace offers a free tier for initial use, with paid plans available for increased usage and additional features. It utilizes per-second billing for its low-cost GPUs, providing flexibility without requiring long-term commitments. This model allows users to scale their compute resources on demand.

Can Paperspace reduce compute costs compared to other cloud providers?

Yes, Paperspace is designed to significantly reduce compute costs when compared to major public clouds or self-hosting solutions. It offers access to powerful GPUs with a cost-effective, per-second billing model. This allows users to optimize their spending on AI/ML workloads.

What kind of limitations might users encounter with Paperspace?

Users might encounter variations in the availability of specific instance types on Paperspace. Additionally, the free tier has certain limitations regarding storage capacity and the duration of auto-shutdown. These factors should be considered when planning projects.

How does Paperspace compare to a competitor like Lambda Labs?

Paperspace, similar to Lambda Labs, provides accelerated cloud computing specifically for AI and Machine Learning workloads, offering access to powerful GPUs like NVIDIA H100. However, Paperspace emphasizes simplifying the entire ML lifecycle within a single platform, from development to deployment, with integrated collaboration tools and automatic versioning. It also aims to reduce compute costs compared to major public clouds.

Does Paperspace offer tools for managing AI/ML infrastructure?

Yes, Paperspace simplifies AI/ML infrastructure management by providing features like instant provisioning, job scheduling, and resource provisioning. This allows users to focus on model development rather than server maintenance. The platform also includes automatic versioning and collaboration tools to streamline team workflows.

How does Paperspace pricing compare with other AI Model Deployment tools?

Paperspace's entry paid plan ($8/mo, billed monthly) ranks #2 of 12 for price among the AI Model Deployment tools with a verified entry price and no stated unit, where the median is $54.50/mo. Prices are read on each vendor's own pricing page and compared only with tools priced on the same basis. Source: Toolradar, Oct 2026.

Source: paperspace.com

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