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Paperspace Gradient

paperspace.com

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Spec score 9.1 #10 of 138 in Coding Playgrounds

What it is

Paperspace Gradient is a machine learning platform for building, tracking, and collaborating on models. Its browser-based IDE launches GPU-enabled Jupyter notebooks; teams can share projects, invite collaborators, and connect GitHub to manage code and compute resources. Notebook environments run in Docker containers. For deployment, Gradient serves models through API endpoints, with runtime, instance-type, and autoscaling choices. On-demand GPU and IPU instances are available, and paid instance utilization can cost extra beyond plan fees. Gradient supports major machine learning frameworks and libraries. Plans include free options and paid options listed from $8/mo; individual and team plans have different storage allowances, and notebook plans specify limits on notebooks and running sessions. Gradient is offered for beginners, ML/AI engineers, data scientists, researchers, teams, research groups, and startups. Paperspace also lists a Windows, macOS, and Linux beta desktop app, along with centralized permissions and activity logs.

Spec sheet

What it does
Paperspace is a cloud machine-learning platform for developing, training, and deploying AI applications with GPU-backed infrastructure.Read 14 Oct 2026 · docs.digitalocean.com
Purpose
Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models.Read 4 Oct 2026 · paperspace.com
Intended users
The pricing page describes plans for beginners and individual ML/AI engineers, data scientists, researchers, teams, research groups, and startups.Read 4 Oct 2026 · paperspace.com
Free plan
YesRead 22 Sep 2026 · paperspace.com
Paid from
8Read 22 Sep 2026 · paperspace.com
API
Paperspace provides a documented REST API with a unified endpoint schema and improved scalability; legacy Gradient and Core endpoints were deprecated.Read 14 Oct 2026 · docs.digitalocean.com
Security
Paperspace describes centralized permissions and activity logs, and says its security team monitors threats around the clock.Read 4 Oct 2026 · paperspace.com
Compliance
The security page says its datacenters meet SOC 1, SOC 2, PCI-DSS, and ISO 27001 standards.Read 4 Oct 2026 · paperspace.com
Support
Paperspace lists free ticket-based support seven days a week and contract-based enterprise support with infrastructure assistance and customer success managers.Read 4 Oct 2026 · docs.digitalocean.com
Acquisition news
Y Combinator records DigitalOcean’s acquisition of Paperspace for $111 million in cash on July 6, 2023.Read 14 Oct 2026 · ycombinator.com
Auto-shutdown
Notebook auto-shutdown can be set from one hour to one week, while free-tier machines have a six-hour maximum.Read 14 Oct 2026 · docs.digitalocean.com
Availability claim
The security page advertises a 99.99% uptime SLA covering network, power, virtual-server, and storage availability.Read 14 Oct 2026 · paperspace.com
Chrome extension rating
The Paperspace Chrome extension is rated 0 out of 5 from 0 ratings.Read 14 Oct 2026 · chromewebstore.google.com
CLI licence
The Gradient CLI is published as open source Python software under the OSI-approved ISC License.Read 14 Oct 2026 · pypi.org
Company founding
G2 lists Paperspace as serving customers since 2014.Read 14 Oct 2026 · g2.com
Company headquarters and size
Crunchbase lists Paperspace in New York, New York, with 11–50 employees.Read 14 Oct 2026 · crunchbase.com
Company legal name
Crunchbase lists the legal name as Paperspace, Co.Read 14 Oct 2026 · crunchbase.com
Company ownership
Paperspace is listed as acquired by DigitalOcean, and the company website now identifies Paperspace as doing business as DigitalOcean.Read 14 Oct 2026 · crunchbase.com
Compute
The platform offers on-demand GPU and IPU instances, with per-second instance pricing described on its product page.Read 4 Oct 2026 · paperspace.com
Container integrations
Gradient can use public or private images from Docker Hub, DigitalOcean Container Registry, and NVIDIA NGC.Read 14 Oct 2026 · docs.digitalocean.com
Containerized notebooks
Notebooks run in lightweight, portable Docker containers, according to the product page.Read 4 Oct 2026 · paperspace.com
Deployment options
full_stackRead 22 Sep 2026 · paperspace.com
Deployments
Deployments run container images as hosted machine-learning model endpoints through a REST API.Read 14 Oct 2026 · docs.digitalocean.com
Desktop app
The native Paperspace application supports Windows 10 or newer, macOS 10.13 or newer, and Linux in beta, with hotkeys, drag-and-drop uploads, and multi-monitor support.Read 14 Oct 2026 · paperspace.com
Documentation depth
The documentation includes getting-started guides, how-to articles, concepts, reference material, limits, known issues, support pages, CLI references, and SDK/API examples.Read 14 Oct 2026 · docs.digitalocean.com
Frameworks
Paperspace says Gradient supports major machine learning frameworks and libraries.Read 4 Oct 2026 · paperspace.com
Funding
Paperspace announced a $13 million Series A that brought total funding to $19 million.Read 14 Oct 2026 · blog.paperspace.com
GitHub integration
Users can connect GitHub to manage work and compute resources with git.Read 4 Oct 2026 · paperspace.com
Independent evaluation
The CTO Club rates Paperspace 3.7 out of 5, lists a free plan, and says pricing starts at $8 per month.Read 14 Oct 2026 · thectoclub.com
Independent limit
The CTO Club says onboarding can be difficult, the interface may challenge beginners, pricing is complex, and support response times vary.Read 14 Oct 2026 · thectoclub.com
Limit: availability and interface
G2 reviewers report free machines becoming unavailable, regional capacity shortages, imperfect Jupyter interfaces, and occasional Chrome or application bugs.Read 14 Oct 2026 · g2.com
Limit: billing and failed deployments
A Trustpilot reviewer reports a deployment build failure with little diagnostic information followed by a £79 charge and only a £20 credit offer.Read 14 Oct 2026 · trustpilot.com
Limit: support and controls
Software Advice reviewers mention finicky security permissions, software-installation issues, inconsistent Windows shortcuts, cursor problems, and variable support quality.Read 14 Oct 2026 · softwareadvice.com
Machines
Paperspace Machines are Linux and Windows virtual machines with persistent storage, GPU choices, and unlimited bandwidth.Read 14 Oct 2026 · docs.digitalocean.com
Model serving
Deployments serve machine learning models as API endpoints and provide options for runtimes, instance types, and autoscaling.Read 4 Oct 2026 · paperspace.com
Notebook collaboration
Teams can invite collaborators, assign permissions, fork public projects, and create shared notebooks.Read 14 Oct 2026 · docs.digitalocean.com
Notebook runtimes
Notebook users can select prebuilt templates or bring custom Docker images and run projects in Python and other languages.Read 14 Oct 2026 · docs.digitalocean.com
Notebooks
Notebooks provide a browser-based Jupyter IDE with persistent shared storage and accelerated CPU, GPU, or multi-GPU machines.Read 14 Oct 2026 · docs.digitalocean.com
Praise: cloud GPU usability
Software Advice reviewers describe simple setup, smooth use over slow connections, useful auto-shutdown, responsive support, and good value.Read 14 Oct 2026 · softwareadvice.com
Praise: value and GPUs
G2 reviewers repeatedly praise affordable pricing, powerful GPU access, fast onboarding, and easy-to-use GPU notebooks.Read 14 Oct 2026 · g2.com
Private projects
YesRead 22 Sep 2026 · paperspace.com
Private registries
Gradient stores private container-registry credentials so deployments can reuse configured registry connections.Read 14 Oct 2026 · docs.digitalocean.com
Rating on G2
Paperspace Core is rated 4.9 out of 5 from 10 reviews.Read 14 Oct 2026 · g2.com
Rating on Trustpilot
Paperspace has a TrustScore of 1.5 out of 5 from 97 reviews.Read 14 Oct 2026 · trustpilot.com
SDK and CLI
API keys authenticate the Core REST API, Core JavaScript SDK, and Gradient CLI, while the CLI is installed with pip.Read 14 Oct 2026 · docs.digitalocean.com
SDK capabilities
The Gradient package supports programmatic creation of notebooks, workflows, and deployments and advertises automatic versioning, distributed training, metrics, hyperparameter search, and GradientCI.Read 14 Oct 2026 · pypi.org
Security certifications
Paperspace states that its datacenters meet ISO 27001, SOC 1, SOC 2, PCI-DSS, FISMA Moderate, and Sarbanes-Oxley requirements.Read 14 Oct 2026 · paperspace.com
Security controls
Paperspace describes centralized permissions, resource protections, activity monitoring, historical logs, and round-the-clock threat monitoring.Read 14 Oct 2026 · paperspace.com
Self-hosting
Enterprise Gradient can be hosted on private cloud, on-premises infrastructure, or private clusters and is marketed as running without limits.Read 14 Oct 2026 · paperspace.com
Workflows
Workflows combine GPU instances and declarative actions to automate production machine-learning pipelines.Read 14 Oct 2026 · docs.digitalocean.com

Plans and prices

Free (Individual) Free Plus utilization costs on paid instances 5GB storage Read 22 Sep 2026 · paperspace.com
Pro (Individual) $8 a month Plus utilization costs on paid instances 15GB storage Read 22 Sep 2026 · paperspace.com
Growth (Individual) $39 a month Plus utilization costs on paid instances 50GB storage Read 22 Sep 2026 · paperspace.com
Free (Team) Free 5GB storage Read 22 Sep 2026 · paperspace.com
Pro (Team) $12 a month billed monthly 15GB storage Read 22 Sep 2026 · paperspace.com
Growth (Team) $39 a month billed monthly 50GB storage Read 22 Sep 2026 · paperspace.com
T0 Free 10 notebooks · 1 running notebook · 10GB persistent storage included · Low instance types · Paid instance utilization costs extra Read 4 Oct 2026 · paperspace.com
T1 $12 a month user/month 100 notebooks · 10 running notebooks · 500GB persistent storage included · Low–mid instance types · Paid instance utilization costs extra Read 4 Oct 2026 · paperspace.com
Free Free Public projects · 5GB storage · Basic instances Read 4 Oct 2026 · paperspace.com
Free Free Public projects · 5GB storage · Basic instances · Paid instances billed hourly Read 14 Oct 2026 · paperspace.com
Team Free Free Public notebooks · 10GB persistent storage · 10 notebooks · 1 running notebook · Low instance types Read 14 Oct 2026 · paperspace.com
Pro $8 a month per month Private projects · 15GB storage · Mid-range instances · Plus utilization costs on paid instances Read 4 Oct 2026 · paperspace.com

Every Paperspace Gradient plan and price →

Strong points and limits

Strong points

  • GPU-enabled Jupyter notebooks run in a browser IDE.
  • Model deployments provide API endpoints and autoscaling options.
  • GitHub connection supports work and compute management.
  • Free plans are available.
  • Windows, macOS, and Linux beta desktop app listed.

Limits

  • Paid instance utilization costs extra on some plans.
  • Free options limit storage or notebooks, depending on plan.
  • T2 plan has no listed price.

Who it suits

Gradient suits people and groups developing or serving machine learning models, from individual engineers and researchers to teams and startups. Its browser notebooks, shared projects, GitHub connection, and API deployments cover a range of collaborative workflows.

Paperspace Gradient in depth

Read the full write-up

Paperspace Gradient is a machine-learning workspace for developing models in browser-based notebooks and serving them through API endpoints. It is best suited to ML practitioners and teams who need notebook collaboration as well as configurable GPU or IPU compute. Its appeal is the path from experimentation to deployment; instance charges can make the subscription price an incomplete measure of cost.

Overview

Gradient brings notebook development, model tracking and collaboration into one platform, with deployment options for serving models. Shared projects and collaborator invitations suit joint work, while private projects are part of the paid Free/Pro/Growth plan family. The combination is more useful to teams advancing models toward an endpoint than to someone who only wants a basic notebook environment.

Key features

Notebook development and compute

The browser-based IDE launches GPU-enabled Jupyter notebooks in lightweight Docker containers. GitHub integration lets users manage work and compute resources with git, and Gradient supports major machine-learning frameworks and libraries. On-demand GPU and IPU instances are priced by the second, offering workload-level flexibility but requiring users to budget utilization separately from subscription fees.

Serving and collaboration

Deployments expose models as API endpoints, with runtime and instance-type choices and autoscaling. That matters for practitioners who need a route from experiments to serving; it is less compelling if deployment is outside the job. Centralized permissions and activity logs support administration, and Paperspace says its security team monitors threats around the clock. Its datacenters meet SOC 1, SOC 2, PCI-DSS and ISO 27001 standards.

Desktop app and support

The native app supports Windows 10+, OS X 10.13+ and Linux beta, with hotkeys, drag-and-drop uploads and multi-monitor support. Free ticket-based support runs seven days a week. Enterprise support is contract-based and includes infrastructure assistance and customer success managers, making it a more tailored option for organizations than for individual users.

Pricing

Gradient is freemium, with a free plan and paid plans from $8/mo. Several plan families appear, so compare their distinct notebook, storage and instance terms rather than treating one price ladder as universal.

Free (Individual): free, 5GB storage; paid instance utilization costs extra.

Pro (Individual): $8 a month, 15GB storage; paid instance utilization costs extra.

Growth (Individual): $39 a month, 50GB storage; paid instance utilization costs extra.

Free (Team): free, 5GB storage.

Pro (Team): $12 a month, billed monthly, 15GB storage.

Growth (Team): $39 a month, billed monthly, 50GB storage.

In the Free/Pro/Growth plan family, Free limits users to public projects and basic instances. Pro adds private projects, mid-range instances and 15GB storage; Growth raises storage to 50GB, adds high-end instances and Expert Support. Both paid tiers also incur utilization costs on paid instances, so their monthly fees do not cover all compute.

A separate notebook-oriented set of plans makes concurrency and storage explicit:

T0: free, with 10 notebooks, one running notebook, 10GB persistent storage, low instance types and extra paid-instance utilization costs.

T1: $12 a month, billed user/month, with 100 notebooks, 10 running notebooks, 500GB persistent storage, low–mid instance types and extra paid-instance utilization costs.

T2: custom pricing, with low-to-high instance types, private notebooks, scalable storage, and unlimited notebooks and running notebooks.

T0 is the bounded free starting point; T1 substantially lifts notebook and storage ceilings but still limits instance range and adds utilization charges. T2 is the fit when private notebooks, broader instance choices or uncapped notebook counts matter, though its custom pricing requires a quote.

Platforms

Gradient supports API, Linux, macOS, web and Windows. Its native desktop app is available for Windows 10+, OS X 10.13+ and Linux beta; the platform also provides browser-based notebooks.

Who it's for

The plan range is aimed at beginners and individual ML/AI engineers, data scientists, researchers, teams, research groups and startups. Individuals can start free and move up for private projects or more storage; teams that need higher notebook concurrency may find T1's user-based price and stated running-notebook allowance more relevant. The extra instance costs make it important for any buyer to account for actual compute use.

Pros and cons

Pro: Notebook development and API model serving share one platform, which suits work progressing from experiments to deployment.

Pro: GPU and IPU compute is available on demand, with runtime, instance-type and autoscaling choices for deployments.

Pro: Free entry plans and paid options with increasing storage and notebook capacity give individuals and teams room to scale.

Con: Paid instance utilization costs extra, so plan fees alone do not establish the cost of compute-heavy work.

Con: Free tiers have meaningful constraints: public projects in the Free plan family, and only one running notebook with low instance types on T0.

Con: The plan families have different limits and billing terms, which makes direct price comparison less straightforward.

Alternatives

Deepnote is worth considering for a collaborative notebook option with a free plan that includes up to three editors, five projects and unlimited Basic machines.

KNIME Analytics Platform is the alternative to consider if free, open-source software is the priority.

Datalore offers a free cloud tier with 120 CPU S machine hours, 10 GB storage, two notebooks in parallel and one workspace, which may suit work within those limits.

ML Workspace is a free single-user development environment for someone able to run Docker with at least two CPUs and 500MB recommended.

NETVIBES is another option for readers comparing enterprise data-science software.

Hex may fit users seeking a free community plan with small compute or a Professional plan at $36 a month.

MLJAR Studio is a free desktop-oriented alternative on Linux, macOS and Windows; its Free plan includes 50 prompts per month, 10 published conversations and one public Mercury web app.

Amazon SageMaker Autopilot is a paid option with pay-as-you-go pricing and no minimum fees or upfront commitments.

For broader comparisons, see Data Science Platforms, Deep Learning Software and Coding Playgrounds.

Verdict

Choose Gradient if you want collaborative GPU-enabled notebooks, on-demand compute and a route to serve models as API endpoints in one platform. Its strongest case is that combined workflow; look elsewhere if your priority is predictable compute spending, since paid instance utilization sits on top of plan fees.

Verdict

Gradient combines collaborative notebooks with model deployment and flexible compute options. Compare plan limits and additional instance-utilization costs against the work you need to run.

Where Specifiction places it

Alternatives to Paperspace GradientAll alternatives →