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Compare GPU pricing between Compute Cheap and Paperspace. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $4.80/hour between comparable GPUs
| GPU Model ↑ | Compute Cheap Price | Paperspace Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Paperspace | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Compute Cheap | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Compute CheapPaperspace | ↓$4.80(80.7%) | |||
H100 SXM 80GB VRAM • $1.15/hour Updated: 9/20/2026 ★Best Price $5.95/hour Updated: 9/21/2026 Price Difference:↓$4.80(80.7%) | ||||
H200 141GB VRAM • Compute Cheap | Not Available | — | ||
H200 141GB VRAM • | ||||
Quadro P4000 8GB VRAM • Paperspace | Not Available | — | ||
Quadro P4000 8GB VRAM • | ||||
Quadro P5000 16GB VRAM • Paperspace | Not Available | — | ||
Quadro P5000 16GB VRAM • | ||||
Quadro RTX 4000 8GB VRAM • Paperspace | Not Available | — | ||
Quadro RTX 4000 8GB VRAM • | ||||
Quadro RTX 5000 16GB VRAM • Paperspace | Not Available | — | ||
Quadro RTX 5000 16GB VRAM • | ||||
RTX A4000 16GB VRAM • Paperspace | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A5000 24GB VRAM • Paperspace | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Paperspace | Not Available | 8x GPU | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Paperspace | Not Available | 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
A100 SXM 80GB VRAM • Paperspace | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Compute Cheap | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Compute CheapPaperspace | ↓$4.80(80.7%) | |||
H100 SXM 80GB VRAM • $1.15/hour Updated: 9/20/2026 ★Best Price $5.95/hour Updated: 9/21/2026 Price Difference:↓$4.80(80.7%) | ||||
H200 141GB VRAM • Compute Cheap | Not Available | — | ||
H200 141GB VRAM • | ||||
Quadro P4000 8GB VRAM • Paperspace | Not Available | — | ||
Quadro P4000 8GB VRAM • | ||||
Quadro P5000 16GB VRAM • Paperspace | Not Available | — | ||
Quadro P5000 16GB VRAM • | ||||
Quadro RTX 4000 8GB VRAM • Paperspace | Not Available | — | ||
Quadro RTX 4000 8GB VRAM • | ||||
Quadro RTX 5000 16GB VRAM • Paperspace | Not Available | — | ||
Quadro RTX 5000 16GB VRAM • | ||||
RTX A4000 16GB VRAM • Paperspace | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A5000 24GB VRAM • Paperspace | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Paperspace | Not Available | 8x GPU | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Paperspace | Not Available | 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Offers both spot and on-demand pricing for GPU compute.
Enables capacity owners to compete for workloads, ensuring transparent pricing.
Utilizes underused infrastructure for cost-effective compute.
Charges are based on usage, with no long-term commitments.
Designed primarily around GPU resources without added complexities.
Interactive Jupyter notebooks with a free tier, pre-configured templates, and access to powerful GPUs.
Serve machine learning models as scalable API endpoints.
High-performance virtual machines with a wide variety of NVIDIA GPUs for demanding workloads.
Features for teams to collaborate on projects, including shared drives and SSO.
Offers persistent storage that can be shared across different machines and notebooks.
Programmatic access to the Paperspace platform to automate workflows.
Virtual machines with a wide range of NVIDIA GPUs for various workloads.
Managed Jupyter notebooks for interactive development and experimentation.
A serverless product for deploying trained models as REST APIs.
Visit the pricing page to review available GPU types and configurations.
Choose between spot or on-demand GPU resources.
Fill out the request form to initiate use of resources.
Integrate your applications with the Compute Cheap platform.
Start your GPU compute tasks based on selected resources.
Sign up for a Paperspace account. You can start with a free plan.
Select the product that best fits your needs, such as Gradient Notebooks for interactive development or Core Machines for more control.
Choose a pre-configured template for your desired framework and select a GPU or CPU instance.
Launch your machine or notebook and begin building, training, or deploying your AI applications.
Data centers are located in the US (Secaucus, NJ and Santa Clara, CA) and Europe (Amsterdam, NL).
Support is available through a community forum, extensive documentation, and a support ticket system.