Paperspace

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.

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

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

• GPU cloud computing
• MLOps platform
• AI infrastructure
• Cloud GPU instances
• Machine learning deployment

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices4 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Infrastructure, Technology or R&D, Supply Chain, Personnel, Marketing or Sales, Operations

Revenue model

1. 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.
2. Subscription Plans: Enterprise and team subscription plans with dedicated account management and premium support. Billing runs monthly at the first of each month.
3. Professional Services: Professional services offerings for expert advice on ML projects through the Advanced Technologies Group research fellowship program.
4. Enterprise VDI and Desktops: Virtual desktop infrastructure and cloud hosted desktops for organizations, marketed through Workstream product line.

Pricing tiers

Go-to-market motion2 records

Distribution channels4 records

Marketing channels8 records

Core 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

Named customers6 records

Segments5 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability5 records

Feature7 records

Partnerships

Six partnerships are on record, tiered strategic, flagship and core.

• Persistent SystemsstrategicStrategic or Co-development Partner · 16 December 2025DigitalOcean (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.
• NVIDIAflagshipTechnology or IntegrationPaperspace 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.
• GraphcorecoreTechnology or IntegrationPaperspace 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 SciencecoreStrategic or Co-development PartnerPaperspace 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.aicoreStrategic or Co-development PartnerPaperspace 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.
• DigitalOceanflagshipStrategic or Co-development PartnerPaperspace 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

Direct 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

• Xx.com/hellopaperspace
• GitHubgithub.com/Paperspace
• Facebookfacebook.com/HelloPaperspace
• LinkedInlinkedin.com/company/paperspace
• Instagraminstagram.com/hellopaperspace

Compliance4 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Subsidiaries1 record

Funding overview

Funding rounds6 records

Investors18 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Paperspace