Paperspace
Developer-friendly GPU cloud platform
Last reviewed Mar 14, 2026
Paperspace (by DigitalOcean) offers dedicated GPUs including H100/HGX H100 and A100 with managed notebooks and workflows.
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: August 21, 2026
| A100 SXM | $3.28/hr 1× | 1× | |||||
| A100 SXM | $3.13/hr 2× | 2× | |||||
| A100 SXM | $3.11/hr 4×8× | 4×8× | |||||
| H100 SXM | $5.99/hr 1× | 1× | |||||
| H100 SXM | $5.95/hr 8× | 8× | |||||
| Quadro P4000 | $0.510/hr 1× | 1× | |||||
| Quadro P5000 | $0.780/hr 1× | 1× | |||||
| Quadro RTX 4000 | $0.560/hr 1× | 1× | |||||
| Quadro RTX 5000 | $0.820/hr 1× | 1× | |||||
| RTX A4000 | $0.800/hr 1×2×4× | 1×2×4× | |||||
Paperspace pricing by GPU
Configurations, price rank, and alternatives for one GPU at a time.
Pros & Cons
Advantages
- User-friendly interface and easy to get started
- Wide range of NVIDIA GPU options
- Free GPU and CPU plans for notebooks
- Pay-per-second billing model
- Comprehensive MLOps platform (Gradient)
- Strong community forum and extensive documentation
Limitations
- Limited data center regions (US and Europe)
- Some user reports of inconsistent customer support
- Availability of high-end multi-GPU instances can be limited
- The platform is undergoing changes after being acquired by DigitalOcean
Key Features
Gradient Notebooks
Interactive Jupyter notebooks with a free tier, pre-configured templates, and access to powerful GPUs.
Gradient Deployments
Serve machine learning models as scalable API endpoints.
Core Machines
High-performance virtual machines with a wide variety of NVIDIA GPUs for demanding workloads.
Team Collaboration
Features for teams to collaborate on projects, including shared drives and SSO.
Persistent Storage
Offers persistent storage that can be shared across different machines and notebooks.
API and CLI
Programmatic access to the Paperspace platform to automate workflows.
Compute Services
Core GPU Instances
Virtual machines with a wide range of NVIDIA GPUs for various workloads.
Gradient Notebooks
Managed Jupyter notebooks for interactive development and experimentation.
- Free CPU and GPU tiers
- 1-click launch with pre-configured templates
- Persistent storage for your projects
- Collaboration features for teams
Gradient Deployments
A serverless product for deploying trained models as REST APIs.
- Scalable and managed infrastructure
- Integration with Gradient Notebooks and Workflows
- Real-time monitoring of deployed models
Dedicated GPUs
On‑demand GPU VMs and notebooks with flexible pricing.
Availability & Support
Regions
Data centers are located in the US (Secaucus, NJ and Santa Clara, CA) and Europe (Amsterdam, NL).
Support
Support is available through a community forum, extensive documentation, and a support ticket system.
Getting Started
- 1
Create an Account
Sign up for a Paperspace account. You can start with a free plan.
- 2
Choose a Product
Select the product that best fits your needs, such as Gradient Notebooks for interactive development or Core Machines for more control.
- 3
Select a Template and Machine
Choose a pre-configured template for your desired framework and select a GPU or CPU instance.
- 4
Start Working
Launch your machine or notebook and begin building, training, or deploying your AI applications.
Frequently Asked Questions
What GPU types does Paperspace offer?
Paperspace offers various GPU types including RTX A5000, RTX A5000, RTX A5000, RTX A6000, RTX A6000, RTX A6000, RTX A6000, A100 SXM, A100 SXM, A100 SXM, A100 SXM, H100 SXM, H100 SXM, Quadro P5000, Quadro P4000, RTX A4000, RTX A4000, RTX A4000, Quadro RTX 4000, Quadro RTX 5000, Tesla V100, Tesla V100, Tesla V100, Tesla V100. Check the pricing table above for current availability and pricing.
How do I get started with Paperspace?
Create an Account, Choose a Product, Select a Template and Machine, Start Working
What are Paperspace's main advantages?
Paperspace's main advantages include: User-friendly interface and easy to get started, Wide range of NVIDIA GPU options, Free GPU and CPU plans for notebooks, Pay-per-second billing model, Comprehensive MLOps platform (Gradient), Strong community forum and extensive documentation.
What are Paperspace's limitations?
Paperspace's main limitations include: Limited data center regions (US and Europe), Some user reports of inconsistent customer support, Availability of high-end multi-GPU instances can be limited, The platform is undergoing changes after being acquired by DigitalOcean.
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