
Paperspace
Developer-friendly GPU cloud platform
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: April 8, 2026
GPU Modelโ | Memoryโ | GPUsโ | vCPUsโ | RAMโ | Typeโ | Price / hrโ | Updatedโ | Source |
|---|---|---|---|---|---|---|---|---|
| A100 SXM | 80GB | 2x | 24 | 180 GB | On Demand | $3.13/hr | 4/8/2026 | |
| A100 SXM | 80GB | 4x | 48 | 360 GB | On Demand | $3.11/hr | 4/8/2026 | |
| A100 SXM | 80GB | 8x | โ | โ | On Demand | $3.18/hr | 4/8/2026 | |
| A100 SXM | 80GB | 1x | 12 | 90 GB | Reserved | $1.15/hr | 4/6/2026 | |
| H100 SXM | 80GB | 1x | โ | โ | On Demand | $5.95/hr | 4/8/2026 | |
| H100 SXM | 80GB | 8x | โ | โ | On Demand | $5.95/hr | 4/8/2026 | |
| H100 SXM | 80GB | 1x | 20 | 256 GB | Reserved | $2.24/hr | 4/6/2026 | |
| RTX A4000 | 16GB | 1x | โ | โ | On Demand | $0.76/hr | 4/8/2026 | |
| RTX A4000 | 16GB | 2x | 16 | 90 GB | On Demand | $0.80/hr | 4/8/2026 | |
| RTX A4000 | 16GB | 4x | 32 | 180 GB | On Demand | $0.80/hr | 4/8/2026 | |
| RTX A5000 | 24GB | 1x | โ | โ | On Demand | $1.38/hr | 4/8/2026 | |
| RTX A5000 | 24GB | 2x | 16 | 90 GB | On Demand | $1.42/hr | 4/8/2026 | |
| RTX A5000 | 24GB | 4x | 32 | 180 GB | On Demand | $1.42/hr | 3/31/2026 | |
| RTX A6000 | 48GB | 1x | โ | โ | On Demand | $1.89/hr | 4/8/2026 | |
| RTX A6000 | 48GB | 2x | 16 | 90 GB | On Demand | $1.93/hr | 4/8/2026 | |
| RTX A6000 | 48GB | 4x | 32 | 180 GB | On Demand | $1.93/hr | 4/6/2026 | |
| RTX A6000 | 48GB | 8x | โ | โ | On Demand | $0.95/hr | 4/8/2026 | |
| Tesla V100 | 32GB | 1x | โ | โ | On Demand | $2.30/hr | 4/8/2026 | |
| Tesla V100 | 32GB | 8x | โ | โ | On Demand | $1.15/hr | 4/8/2026 |
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
Onโdemand 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.
Compare Providers
Find the best prices for the same GPUs from other providers