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: $1.03/hour between comparable GPUs
GPU Pricing Comparison
| GPU Model ↑ | Paperspace Price | RunPod Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • RunPod | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • PaperspaceRunPod | ↑+$0.36(+45.6%) | |||
A100 SXM 80GB VRAM • $1.15/hour Updated: 3/11/2026 $0.79/hour Updated: 3/11/2026 ★Best Price Price Difference:↑+$0.36(+45.6%) | ||||
A2 16GB VRAM • RunPod | Not Available | — | ||
A2 16GB VRAM • | ||||
A30 24GB VRAM • RunPod | Not Available | — | ||
A30 24GB VRAM • | ||||
A40 48GB VRAM • PaperspaceRunPod | ↑+$0.40(+100.0%) | |||
B200 192GB VRAM • RunPod | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 80GB VRAM • PaperspaceRunPod | ↑+$0.74(+49.3%) | |||
H100 80GB VRAM • $2.24/hour Updated: 3/11/2026 $1.50/hour Updated: 3/11/2026 ★Best Price Price Difference:↑+$0.74(+49.3%) | ||||
H100 NVL 94GB VRAM • RunPod | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • RunPod | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H200 141GB VRAM • RunPod | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • RunPod | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • RunPod | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • RunPod | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • RunPod | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3080 10GB VRAM • RunPod | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
A100 PCIE 40GB VRAM • RunPod | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • PaperspaceRunPod | ↑+$0.36(+45.6%) | |||
A100 SXM 80GB VRAM • $1.15/hour Updated: 3/11/2026 $0.79/hour Updated: 3/11/2026 ★Best Price Price Difference:↑+$0.36(+45.6%) | ||||
A2 16GB VRAM • RunPod | Not Available | — | ||
A2 16GB VRAM • | ||||
A30 24GB VRAM • RunPod | Not Available | — | ||
A30 24GB VRAM • | ||||
A40 48GB VRAM • PaperspaceRunPod | ↑+$0.40(+100.0%) | |||
B200 192GB VRAM • RunPod | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 80GB VRAM • PaperspaceRunPod | ↑+$0.74(+49.3%) | |||
H100 80GB VRAM • $2.24/hour Updated: 3/11/2026 $1.50/hour Updated: 3/11/2026 ★Best Price Price Difference:↑+$0.74(+49.3%) | ||||
H100 NVL 94GB VRAM • RunPod | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • RunPod | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H200 141GB VRAM • RunPod | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • RunPod | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • RunPod | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • RunPod | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • RunPod | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3080 10GB VRAM • RunPod | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
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
Pods
On‑demand single‑node GPU instances with flexible templates and storage.
Instant Clusters
Spin up multi‑node GPU clusters in minutes with auto networking.
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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