Paperspace
- Company typePrivate
- Founded2014
- HeadquartersBrunswick East, Australia
- Headcount—
- GTM typeB2B
- OfferingSoftware
Paperspace firmographics
Firmographics- Name
- Paperspace
- Legal name
- Paperspace Co.
- Website
- https://paperspace.com
- Company type
- Private
- Founded year
- 2014
- Operating status
- Acquired
- Ownership category
- akta.pro rank
Paperspace industry classification
Industry- Product category
- Cloud GPU Infrastructure
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- End-to-End MLOps & ML Platform Suites (HDAAABAA)
- akta.pro secondary industries
- ML Lifecycle Collaboration & Workspace Management (HDAAABAK), Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)
Keywords
Where Paperspace is headquartered
LocationHeadquarters
- HQ city
- Brunswick East
- HQ country
- Australia
- HQ region
- Oceania
Offices6 records
Markets served
Paperspace business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Infrastructure, Technology or R&D, Personnel, Operations, Marketing or Sales
Revenue model
- GPU Compute (On-Demand): Pay-per-second billing for GPU compute usage on dedicated or shared GPU machines (H100, A100, V100, RTX series, etc.). Usage is metered per second with no upfront commitment. Customers can scale up or down instantly based on workload needs.
- Gradient Subscription Plans: Tiered subscription plans (Free, Pro at $8/mo, Growth at $39/mo, Enterprise custom) that provide access to Gradient tools, storage limits, concurrent notebook limits, and instance type access tiers. Additional per-user pricing for team plans (T1 at $12/user/mo, T2 custom). Compute utilization costs billed separately on top of subscription.
- Cloud Desktops (VDI) - Workstream: Cloud-hosted virtual desktop infrastructure for individuals and organizations, including Windows and Linux desktops with dedicated GPU options for professional 3D, rendering, and VDI use cases. Offered at monthly flat rates.
- Enterprise Private Clusters: Private cloud, on-premise, and hybrid environment deployments for enterprise customers requiring dedicated infrastructure. Includes dedicated account management, premium support, SSO, and solutions engineering. Priced via custom annual/multi-year contracts.
- Add-ons and Integrations: Revenue from add-on services including Private Networking, VPN Gateways, Shared Drives, Public IPs, Premium Support upgrades, and SAML SSO on business plans.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier for Gradient ML platform - includes basic GPU access for exploration |
| Subscription | Monthly | Pro individual plan for ML engineers and researchers |
| Per seat | Monthly | Growth team plan for teams and research groups |
| Subscription | Multi-year contract | Enterprise custom plan with unlimited resources and dedicated support |
| Usage-based | Pay-as-you-go | CORE on-demand GPU compute (H100) - per-second billing |
| Subscription | Monthly | CORE dedicated GPU monthly plans |
| Usage-based | Pay-as-you-go | CPU-only on-demand servers (Linux only) |
| Subscription | Monthly | Desktop virtual machines (Windows/Linux VDI) |
| Per seat | Monthly | Team tier plans T0, T1, T2 for Gradient platform |
Go-to-market motion3 records
Distribution channels6 records
Marketing channels10 records
Paperspace product offering
Product offeringCore offering
Paperspace is a GPU-accelerated cloud computing platform offering two core products: Gradient, an end-to-end MLOps platform for building, training, and deploying machine learning models via Notebooks, Workflows, and Deployments, and Core, a fully managed cloud GPU platform providing virtual machines with NVIDIA and Graphcore accelerators for AI/ML training, inference, 3D rendering, and HPC workloads. The platform supports per-second billing, multi-GPU configurations, and serves both self-serve developers and enterprise customers with private clusters and on-premise deployments.
Product overview
Paperspace is a cloud GPU platform (now part of DigitalOcean) offering two core products: Core for GPU-accelerated virtual machines and infrastructure, and Gradient for end-to-end machine learning workflows. Core provides scalable virtual servers with various GPU options (NVIDIA A100, H100, V100, RTX series) and Graphcore IPUs, along with desktop streaming (Portal), VDI (Workstream), and Gaming services. Gradient provides a unified ML platform with Notebooks (1-click Jupyter with free GPUs), Workflows (ML automation), Deployments (scalable API endpoints for inference), Model Repository, Experiments (distributed training), and Gradient CI. The platform supports multi-cloud and on-premise deployments through Gradient Installer for enterprise environments.
Differentiator
Problem solved
Functional benefit
Brands
- Gradient: ML platform for building, training, and deploying Machine Learning models of any size and complexity.
- Core
Products and services
- Gradient
Quantifiable outcome
- Up to 70% cost savings on GPU compute vs major public clouds or buying own servers
- +4 more outcomes
Companies that use Paperspace
Customer profileNamed customers4 records
Segments6 records
Ideal customer profiles4 records
Paperspace technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration5 records
AI capability6 records
Feature10 records
Paperspace partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered core, flagship and minor.
- NVIDIAcorePaperspace is an official NVIDIA Cloud Service Provider (CSP) partner within the NVIDIA Partner Network (NPN). Offers the industry's widest range of NVIDIA GPU options (M4000 to H100) with CUDA support. Also offers NVIDIA Certified DGX-Ready Software Solution for end-to-end MLOps with on-premise DGX systems. Datacenters meet SOC 1, SOC 2, PCI-DSS, and ISO 27001 compliance standards.
- GraphcorecorePaperspace joined forces with Graphcore to offer on-demand access to Intelligence Processing Units (IPUs). Notebooks powered by IPUs are available through the Paperspace Gradient platform, providing an alternative accelerator architecture for AI and data science workloads beyond NVIDIA GPUs.
- Fast.aiflagshipPaperspace Gradient is one of only two notebook services officially recommended by Fast.ai for their Practical Deep Learning for Coders course. Features 1-click launch integration with the Fast.ai runtime tile. Tens of thousands of students have completed the course using Paperspace Gradient with free GPUs.
- Gradient HealthminorGradient Health and Paperspace partnered to advance medical imaging research using GPU-accelerated compute on the Paperspace platform. A case study demonstrates how Gradient Health uses Paperspace infrastructure for medical imaging AI development.
- Y CombinatorminorPaperspace is part of the Y Combinator startup family, indicating prior Y Combinator acceleration or backing.
Scale indicators7 records
Recent moves6 records
Expansion highlights5 records
Paperspace competitors and assessment
Company assessmentEmerging players
- Modal Labs: Modal provides serverless GPU compute for AI/ML workloads with developer-focused APIs and per-second billing. Overlaps with Paperspace Gradient on ML engineering workflows but differentiates through a code-first, function-as-a-service model.
- Anyscale: Anyscale (the company behind Ray) offers managed Ray-based distributed compute for AI/ML workloads, including GPU clusters. Overlaps with Paperspace Gradient's distributed training and MLOps orchestration capabilities.
- Together AI: Together AI operates a GPU cloud purpose-built for open-source and frontier model training/inference, with specialized AI infrastructure services. Overlaps with Paperspace's Core and Gradient for LLM training and inference workloads.
Broad incumbents
- Amazon Web Services (EC2 GPU instances): AWS offers P4/P5 GPU instances, SageMaker ML platform, and Bedrock generative AI services. A broad incumbent competing with Paperspace across both raw GPU compute and the managed ML platform layer, with deeper enterprise penetration.
- Microsoft Azure (GPU VMs / Azure ML): Azure provides ND-series GPU VMs and Azure Machine Learning managed platform services. Broad incumbent competing across Paperspace's product portfolio, particularly for enterprise customers standardized on Microsoft.
- Google Cloud Platform (GPU VMs / Vertex AI): GCP provides GPU-accelerated Compute Engine instances and the Vertex AI end-to-end ML platform. A broad incumbent with overlapping MLOps and GPU compute capabilities against Paperspace's Gradient and Core products.
Direct peers
- Vast.ai: Vast.ai is a decentralized GPU marketplace where individuals and small providers rent GPU capacity, often below hyperscaler pricing. Competes with Paperspace's Core product on the cost-sensitive end of the GPU cloud market.
- Lambda Labs: Lambda is a direct peer — a GPU cloud platform offering on-demand NVIDIA GPUs (including H100) for AI/ML training and inference, with per-hour pricing and cloud-hosted Jupyter notebooks. Competes head-to-head with Paperspace on the same ML engineer and data scientist persona.
- RunPod: RunPod offers cloud GPU instances and serverless GPU compute for AI/ML workloads, including 1-click notebook templates and per-second billing. Targets the same indie developer and startup ML persona as Paperspace with similar pricing positioning.
- CoreWeave: CoreWeave is a specialized GPU cloud provider built around NVIDIA hardware, serving AI labs and enterprises with H100/H200 clusters. Direct competitor to Paperspace's Core product on large-scale GPU compute, with a significantly larger capacity footprint.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks1 record
Key highlights6 records
Customer concentration
Paperspace social profiles
Digital presencePaperspace compliance and trust
Trust signalCompliance5 records
Paperspace financial estimates
Financial estimateRevenue estimate
Valuation estimate
Paperspace leadership team
Management profileNumber of profiles
Paperspace funding detail
Funding detailFunding overview
Funding rounds4 records
Investors10 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Paperspace M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Paperspace
What does Paperspace do?
Paperspace is a GPU-accelerated cloud computing platform offering two core products: Gradient, an end-to-end MLOps platform for building, training, and deploying machine learning models via Notebooks, Workflows, and Deployments, and Core, a fully managed cloud GPU platform providing virtual machines with NVIDIA and Graphcore accelerators for AI/ML training, inference, 3D rendering, and HPC workloads. The platform supports per-second billing, multi-GPU configurations, and serves both self-serve developers and enterprise customers with private clusters and on-premise deployments.
Is Paperspace a public or private company?
Paperspace is a private company. It is classified as corporate owned and is currently acquired.
When was Paperspace founded?
Paperspace was founded in 2014.
Where is Paperspace based?
Paperspace is headquartered in Brunswick East, Australia, in the Oceania region.
How does Paperspace make money?
Five revenue lines are on record. GPU Compute (On-Demand) is the primary driver. The others are gradient Subscription Plans, cloud Desktops (VDI) - Workstream, enterprise Private Clusters and add-ons and Integrations.
Who are Paperspace's main competitors?
Emerging players on record are Modal Labs, Anyscale and Together AI. Broad incumbents are Amazon Web Services (EC2 GPU instances), Microsoft Azure (GPU VMs / Azure ML) and Google Cloud Platform (GPU VMs / Vertex AI). Direct peers are Vast.ai, Lambda Labs, RunPod and CoreWeave.
Does Paperspace have an API?
Yes. Paperspace offers a Full Core API for programmatic access. The platform provides both the Core API (with CLI and SDK) for compute, storage, and networking management, as well as the Paperspace API for managing Gradient resources. Users can programmatically create machines, manage notebooks, deploy models, and orchestrate workflows through the API. Developer documentation is at docs.paperspace.com/core/api-reference.
What industry is Paperspace in?
Paperspace's product category is Cloud GPU Infrastructure. Its primary akta.pro industry code is HDAAABAA, End-to-End MLOps & ML Platform Suites, with a secondary code of HDAAABAK, ML Lifecycle Collaboration & Workspace Management. Its NAICS code is 5182 and its SIC code is 7372.