Paperspace vs RunPod
Compare GPU pricing, features, and specifications between Paperspace and RunPod cloud providers. Find the best deals for AI training, inference, and ML workloads.
Paperspace
Provider 1
RunPod
Provider 2
Comparison Overview
Average Price Difference: $1.05/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.
RunPod
- Secure Cloud GPUs
Access to a wide range of GPU types with enterprise-grade security
- Pay-as-you-go
Only pay for the compute time you actually use
- API Access
Programmatically manage your GPU instances via REST API
- Fast cold-starts
Pods typically ready in 20-30 s
- Hot-reload dev loop
SSH & VS Code tunnels built-in
- Spot-to-on-demand fallback
Automatic migration on pre-empt
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
RunPod
Advantages
- Competitive pricing with pay-per-second billing
- Wide variety of GPU options
- Simple and intuitive interface
Considerations
- GPU availability can vary by region
- Some features require technical knowledge
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
RunPod
Pricing Options
Paperspace
RunPod
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.
RunPod
- 1
Create an account
Sign up for RunPod using your email or GitHub account
- 2
Add payment method
Add a credit card or cryptocurrency payment method
- 3
Launch your first pod
Select a template and GPU type to launch your first instance
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.
RunPod
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