Paperspace vs Vast.ai
Compare GPU pricing, features, and specifications between Paperspace and Vast.ai cloud providers. Find the best deals for AI training, inference, and ML workloads.

Paperspace
Provider 1
Vast.ai
Provider 2
Comparison Overview

Average Price Difference: $0.93/hour between comparable GPUs
GPU Pricing Comparison
Features Comparison
Paperspace
- 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.
Vast.ai
Pros & Cons
Paperspace
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
Considerations
- Limited data center regions (US and Europe)
- Some user reports of inconsistent customer support
- Availability of high-end multi-GPU instances can be limited
Vast.ai
Advantages
Considerations
Compute Services
Paperspace
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
Gradient Deployments
A serverless product for deploying trained models as REST APIs.
- Scalable and managed infrastructure
- Integration with Gradient Notebooks and Workflows
Vast.ai
Pricing Options
Paperspace
Vast.ai
Getting Started
Paperspace
- 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.
Vast.ai
Support & Global Availability
Paperspace
Global 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.
Vast.ai
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