Paperspace
Paperspace provides GPU-accelerated cloud computing infrastructure and an end-to-end MLOps platform for AI/ML developers, startups, and enterprises. Operating across three data center regions under DigitalOcean, it serves 500,000+ builders with H100/A100 GPU instances, notebooks, and model deployment services.
- Company typePrivate
- Founded2014
- HeadquartersNew York, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Paperspace does
Paperspace provides GPU-accelerated cloud computing infrastructure and an end-to-end MLOps platform primarily targeting individual AI/ML developers, AI startups, and enterprises running training, fine-tuning, and inference workloads. The product portfolio is structured as a development-to-production workflow: Gradient (MLOps platform), Notebooks (browser-based Jupyter IDE with pre-configured ML templates), Machines (GPU virtual machines supporting up to 8 GPUs including H100 and A100 with 10 Gbps backend networking), and Deployments (container-as-a-service for serving models as autoscaled REST APIs). Supporting products include Core (managed GPU cloud infrastructure), Workflows (beta pipeline automation), Workstream (VDI/cloud desktops), Gaming (cloud gaming rigs), and the Advanced Technologies Group (ML research fellowship). The platform operates across three data center regions (Secaucus NJ, Santa Clara CA, Amsterdam NL) and integrates with GitHub via the Gradient GitHub App for reproducibility.
Paperspace firmographics
Firmographics- Name
- Paperspace
- Legal name
- Paperspace Co.
- Website
- https://paperspace.com
- Company type
- Private
- Founded year
- 2014
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Paperspace provides GPU-accelerated cloud computing infrastructure and an end-to-end MLOps platform for AI/ML developers, startups, and enterprises. Operating across three data center regions under DigitalOcean, it serves 500,000+ builders with H100/A100 GPU instances, notebooks, and model deployment services.
- 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), Software Publishers (513210)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- AI Compute Cloud & GPU-as-a-Service (HDAAAAAK)
- akta.pro secondary industries
- End-to-End MLOps & ML Platform Suites (HDAAABAA), Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB), Model Hosting, Serving & Inference Platforms (HDAAACAB)
Keywords
Where Paperspace is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices4 records
Markets served
Paperspace business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Infrastructure, Technology or R&D, Supply Chain, Personnel, Marketing or Sales, Operations
Revenue model
- GPU Compute Usage: Usage-based billing for GPU cloud resources with per-second metering. Customers pay hourly rates based on GPU type selected, scaling consumption based on workload needs.
- Subscription Plans: Enterprise and team subscription plans with dedicated account management and premium support. Billing runs monthly at the first of each month.
- Professional Services: Professional services offerings for expert advice on ML projects through the Advanced Technologies Group research fellowship program.
- Enterprise VDI and Desktops: Virtual desktop infrastructure and cloud hosted desktops for organizations, marketed through Workstream product line.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free GPU Plan |
| Usage-based | Pay-as-you-go | Pay-as-you-go GPU Instances |
| Subscription | Monthly | Enterprise Plans |
| Usage-based | Multi-year contract | Reserved Instances |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels8 records
Paperspace product offering
Product offeringCore offering
Paperspace provides GPU-accelerated cloud computing infrastructure on NVIDIA GPUs (including H100 and A100) with per-second billing and an integrated end-to-end MLOps platform (Gradient) covering Notebooks, Machines, and Deployments for the full machine learning lifecycle. The platform is sold both self-serve (free and pay-as-you-go tiers for individual developers) and through enterprise sales (custom contracts, dedicated support, reserved instances), targeting AI/ML developers, startups, and enterprise teams building, training, fine-tuning, and deploying AI models.
Product overview
Paperspace is a GPU-native cloud platform providing accelerated computing infrastructure and MLOps tools. The platform operates as a unified platform-plus-modules architecture consisting of Gradient (the MLOps platform), Notebooks (browser-based Jupyter IDE), Machines (GPU virtual machines), and Deployments (model serving API endpoints), supplemented by Core infrastructure and Workflows automation. The platform is now part of DigitalOcean and offers one of the industry's widest GPU selections including NVIDIA H100 and A100, targeting developers, startups, and enterprises for AI/ML development, training, fine-tuning, and deployment workloads.
Differentiator
Problem solved
Functional benefit
Brands
- Gradient: MLOps platform for building, training, and deploying AI models
- Core
- Workstream
- Advanced Technologies Group (ATG)
Products and services
- Gradient
Quantifiable outcome
- Save up to 70% on GPU compute costs compared to major public clouds
- +2 more outcomes
Companies that use Paperspace
Customer profileNamed customers6 records
Segments5 records
Ideal customer profiles5 records
Paperspace technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration1 record
AI capability5 records
Feature7 records
Paperspace partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered strategic, flagship and core.
- Persistent SystemsstrategicDigitalOcean (parent company of Paperspace) announced strategic partnership with Persistent Systems on December 16, 2025 to accelerate AI infrastructure offerings and expand customer base to digital native enterprises.
- NVIDIAflagshipPaperspace is an official NVIDIA Cloud Service Provider partner in the NVIDIA Partner Network (NPN). The partnership provides access to NVIDIA GPUs including H100, A100, and certified DGX-Ready solutions. Paperspace holds Elite partner status and NVIDIA Certified DGX-Ready Software Solution designation.
- GraphcorecorePaperspace partnered with Graphcore to offer on-demand access to Intelligence Processing Units (IPUs) for accelerating modern workloads including AI and data science. Users can start building with IPUs directly from the Paperspace console.
- Insight Data SciencecorePaperspace partnered with Insight Data Science to provide AI Fellows with ML-in-a-Box environments. Many Insight fellows go on to work at leading companies like Google and Facebook. The partnership highlights Paperspace's ease of use for getting ML environments running in minutes.
- Fast.aicorePaperspace Gradient is one of only two notebook services officially recommended by Fast.ai for their Practical Deep Learning for Coders course. The partnership includes pre-built Fast.ai runtime tile and free GPU access for course students.
- DigitalOceanflagshipPaperspace was acquired by DigitalOcean in 2023, expanding DigitalOcean's addressable market into AI inference services. Paperspace operates as a subsidiary under DigitalOcean's umbrella, offering GPU cloud services as part of DigitalOcean's developer-focused cloud portfolio.
Scale indicators5 records
Recent moves6 records
Expansion highlights6 records
Paperspace competitors and assessment
Company assessmentDirect peers
- CoreWeave: CoreWeave is a specialized GPU cloud provider built on NVIDIA infrastructure, offering H100, A100, and other accelerators for AI training and inference. It competes head-to-head with Paperspace's GPU Cloud and Machines offerings for AI developers and enterprises, with similar per-hour GPU pricing and NVIDIA-centric positioning.
- Lambda: Lambda provides GPU cloud instances and clusters (Lambda Cloud) plus on-prem GPU servers, targeting AI researchers and engineers with NVIDIA H100 and A100 hardware. It directly parallels Paperspace's GPU Cloud and Notebooks offerings for the ML developer segment, with similar self-service onboarding and per-hour billing.
- RunPod: RunPod offers GPU cloud instances and serverless inference endpoints aimed at AI developers and startups, with per-second billing and a self-serve console. It is a direct competitor to Paperspace's pay-as-you-go GPU offering for individual developers and small AI teams.
- Vast.ai: Vast.ai operates a marketplace for renting GPU compute from distributed providers, offering low-cost GPU instances for ML training and inference. It competes with Paperspace on price-sensitive GPU compute buyers, particularly individual developers and researchers seeking cost-effective alternatives to traditional clouds.
- Together AI: Together AI provides GPU cloud infrastructure optimized for open-source LLM training, fine-tuning, and inference, with dedicated capacity and inference APIs. It overlaps with Paperspace's Machines and Deployments products for the generative AI developer segment.
Broad incumbents
- AWS (EC2 GPU Instances): AWS offers GPU-backed EC2 instances (P4, P5, G5 families) integrated with its broader cloud ecosystem (S3, SageMaker, Bedrock). While not specializing in GPU cloud, AWS competes with Paperspace for enterprise AI workloads and is cited as a more expensive but more integrated alternative in Paperspace's own competitive positioning.
- Google Cloud (GPU VMs): Google Cloud provides GPU VM instances (A2, G2 families) with H100 and A100 options, alongside Vertex AI for end-to-end MLOps. As a hyperscaler incumbent, it competes with Paperspace for enterprise AI/ML workloads with the advantage of deep integration into Google's AI services and TPUs.
- Microsoft Azure (GPU VMs): Azure offers ND H100 v5 and other GPU VM series integrated with Azure Machine Learning and the broader Microsoft AI stack. It competes with Paperspace for enterprise AI training and inference workloads, particularly organizations already standardized on the Microsoft ecosystem.
Emerging players
- Fluidstack: Fluidstack is a neocloud GPU provider offering large-scale AI supercomputers built on NVIDIA hardware, primarily serving foundation model labs and large enterprises. It is an emerging competitor in the same GPU cloud category as Paperspace but focuses on mega-scale training clusters rather than the developer/SMB segment.
- Modal Labs: Modal provides serverless GPU compute for AI/ML workloads with a developer-focused Python SDK and instant scaling. It targets a similar developer persona to Paperspace's Notebooks and Deployments users but with a more abstracted, function-as-a-service approach rather than traditional VM provisioning.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights7 records
Customer concentration
Paperspace social profiles
Digital presencePaperspace compliance and trust
Trust signalCompliance4 records
Paperspace financial estimates
Financial estimateRevenue estimate
Valuation estimate
Paperspace leadership team
Management profileNumber of profiles
Profiles2 records
Paperspace subsidiaries and ownership
Company hierarchySubsidiaries1 record
Paperspace funding detail
Funding detailFunding overview
Funding rounds6 records
Investors18 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 provides GPU-accelerated cloud computing infrastructure on NVIDIA GPUs (including H100 and A100) with per-second billing and an integrated end-to-end MLOps platform (Gradient) covering Notebooks, Machines, and Deployments for the full machine learning lifecycle. The platform is sold both self-serve (free and pay-as-you-go tiers for individual developers) and through enterprise sales (custom contracts, dedicated support, reserved instances), targeting AI/ML developers, startups, and enterprise teams building, training, fine-tuning, and deploying AI models.
Is Paperspace a public or private company?
Paperspace is a private company. It is classified as corporate owned and is currently operating.
When was Paperspace founded?
Paperspace was founded in 2014. It employs 11 to 50 people.
Where is Paperspace based?
Paperspace is headquartered in New York, United States, in the North America region.
How does Paperspace make money?
Four revenue lines are on record. GPU Compute Usage is the primary driver. The others are subscription Plans, professional Services and enterprise VDI and Desktops.
Who are Paperspace's main competitors?
Direct peers on record are CoreWeave, Lambda, RunPod, Vast.ai and Together AI. Broad incumbents are AWS (EC2 GPU Instances), Google Cloud (GPU VMs) and Microsoft Azure (GPU VMs). Emerging players are Fluidstack and Modal Labs.
Does Paperspace have an API?
Yes. Paperspace provides a Full API for programmatic access to its CORE and Gradient platforms. The API enables job scheduling, resource provisioning, cluster management, and other infrastructure operations without managing servers. API access is documented at docs.paperspace.com/core/api-reference/ for Core infrastructure and docs.paperspace.com/gradient/ for Gradient ML platform. 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 HDAAAAAK, AI Compute Cloud & GPU-as-a-Service, with a secondary code of HDAAABAA, End-to-End MLOps & ML Platform Suites. Its NAICS code is 5182 and its SIC code is 7372.