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Compare GPU and LLM inference API pricing between Paperspace and SwissGPU. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Paperspace Price | SwissGPU Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Paperspace | 4x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Paperspace | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
RTX 3090 24GB VRAM • SwissGPU | Not Available | — | ||
RTX 3090 24GB VRAM • | ||||
RTX 4080 16GB VRAM • SwissGPU | Not Available | — | ||
RTX 4080 16GB VRAM • | ||||
RTX 4090 24GB VRAM • SwissGPU | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5080 16GB VRAM • SwissGPU | Not Available | — | ||
RTX 5080 16GB VRAM • | ||||
RTX 5090 32GB VRAM • SwissGPU | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • SwissGPU | Not Available | — | ||
RTX 6000 Ada 48GB 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 | 8x GPU | Not Available | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Paperspace | 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
A100 SXM 80GB VRAM • Paperspace | 4x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Paperspace | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
RTX 3090 24GB VRAM • SwissGPU | Not Available | — | ||
RTX 3090 24GB VRAM • | ||||
RTX 4080 16GB VRAM • SwissGPU | Not Available | — | ||
RTX 4080 16GB VRAM • | ||||
RTX 4090 24GB VRAM • SwissGPU | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5080 16GB VRAM • SwissGPU | Not Available | — | ||
RTX 5080 16GB VRAM • | ||||
RTX 5090 32GB VRAM • SwissGPU | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • SwissGPU | Not Available | — | ||
RTX 6000 Ada 48GB 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 | 8x GPU | Not Available | — | |
RTX A6000 48GB VRAM • | ||||
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.
Every machine is fully dedicated to you, with direct access to GPU, CPU, memory, and storage.
Run AI workloads on isolated GPU resources with secure SSH access.
All data and the OS are permanently wiped after server rental ends.
Offers ultra-low latency desktops that mimic local experience.
All servers, data, and operations are based in Switzerland.
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.
Go to https://www.swissgpu.ch to explore offerings.
Choose the desired GPU server from the available options.
Reach out through the contact form for any specific requirements.
Complete the rental process as per instructions.
Connect to the server using secure SSH.
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.
Fully hosted in Switzerland.
Contact available through a dedicated support page.