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Compare GPU and LLM inference API pricing between Paperspace and Thunder Compute. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $2.30/hour between comparable GPUs
| GPU Model ↑ | Paperspace Price | Thunder Compute Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • PaperspaceThunder Compute | 4x GPU | ↑+$2.34(+303.9%) | ||
A100 SXM 80GB VRAM • $3.11/hour 4x GPU configuration Updated: 7/16/2026 $0.77/hour Updated: 7/3/2026 ★Best Price Price Difference:↑+$2.34(+303.9%) | ||||
H100 PCIe 80GB VRAM • Thunder Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • PaperspaceThunder Compute | ↑+$3.96(+199.0%) | |||
H100 SXM 80GB VRAM • $5.95/hour Updated: 7/16/2026 $1.99/hour Updated: 7/3/2026 ★Best Price Price Difference:↑+$3.96(+199.0%) | ||||
L40 40GB VRAM • Thunder Compute | Not Available | — | ||
L40 40GB 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 • PaperspaceThunder Compute | 8x GPU | ↑+$0.59(+170.0%) | ||
RTX A6000 48GB VRAM • $0.94/hour 8x GPU configuration Updated: 7/16/2026 $0.35/hour Updated: 7/8/2026 ★Best Price Price Difference:↑+$0.59(+170.0%) | ||||
Tesla V100 32GB VRAM • Paperspace | 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
A100 SXM 80GB VRAM • PaperspaceThunder Compute | 4x GPU | ↑+$2.34(+303.9%) | ||
A100 SXM 80GB VRAM • $3.11/hour 4x GPU configuration Updated: 7/16/2026 $0.77/hour Updated: 7/3/2026 ★Best Price Price Difference:↑+$2.34(+303.9%) | ||||
H100 PCIe 80GB VRAM • Thunder Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • PaperspaceThunder Compute | ↑+$3.96(+199.0%) | |||
H100 SXM 80GB VRAM • $5.95/hour Updated: 7/16/2026 $1.99/hour Updated: 7/3/2026 ★Best Price Price Difference:↑+$3.96(+199.0%) | ||||
L40 40GB VRAM • Thunder Compute | Not Available | — | ||
L40 40GB 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 • PaperspaceThunder Compute | 8x GPU | ↑+$0.59(+170.0%) | ||
RTX A6000 48GB VRAM • $0.94/hour 8x GPU configuration Updated: 7/16/2026 $0.35/hour Updated: 7/8/2026 ★Best Price Price Difference:↑+$0.59(+170.0%) | ||||
Tesla V100 32GB VRAM • Paperspace | 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Paperspace with another leading provider
Compare Paperspace with another leading provider
Compare Paperspace with another leading provider
Compare Paperspace with another leading provider
Compare Paperspace with another leading provider
Compare Paperspace with another leading provider
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.
Spin up a dedicated cloud GPU in seconds.
Customize vCPUs, RAM, and storage.
Supports 7-10 Gbps networking speeds.
Integrated VS Code extension for easier development.
Ability to take snapshots for later use.
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.
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.
Sign up for an account on the Thunder Compute platform.
Select a pre-built template for your AI workflow.
Adjust the vCPUs, RAM, and storage as necessary.
Start your GPU instance with a single click.
Use the VS Code extension to access your persistent environment.
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.
Available in the US and possibly other regions.
24/7 support via email and chat.