GPUcloud

One-click ready machine

JupyterLab with PyTorch (CUDA)

JupyterLab with PyTorch and CUDA, ready to use in your browser.

Open a notebook and run your work on the GPU without installing anything. PyTorch and CUDA are already set up, and access is protected by a token generated for you.

What you get

  • JupyterLab reachable over HTTPS from your browser
  • PyTorch and CUDA configured for the server's GPU
  • An access token generated for you, shown in the console
  • Full SSH access to install your own libraries

What it is for

  • Explore data and prototype models
  • Train or fine-tune a model on GPU
  • Teach or share reproducible notebooks

Included with the template

  • Ready in a few minutes

    Installation starts on its own at the server's first boot. The console shows the progress and the access address as soon as the application answers.

  • HTTPS included

    The application is served over HTTPS with a public certificate obtained automatically, behind authentication. Nothing is exposed unprotected.

  • Data hosted in Canada

    The server, your models and your files are hosted in Canada. Billing is in Canadian dollars.

Recommended GPUs

Price per server in Canadian dollars, taxes extra. Hourly billing with no commitment, the template is included.

GPUMemory per GPUHourly priceOrder
1 × NVIDIA L4048 GB GDDR6$1.34/hDeploy with this GPU
1 × NVIDIA RTX A600048 GB GDDR6$0.67/hDeploy with this GPU
1 × NVIDIA A100 PCIe80 GB HBM2e$1.81/hDeploy with this GPU
1 × NVIDIA H100 PCIe80 GB HBM2e$3.35/hDeploy with this GPU

See all GPU servers

Launch your machine now

The template is already selected in the console. Choose your SSH key, confirm the price and the server starts.

Deploy this template

Frequently asked questions

JupyterLab with PyTorch (CUDA): how long before I can use it?

Usually a few minutes after the server starts. The time varies with the GPU and the amount to download; the console shows you the progress.

JupyterLab with PyTorch (CUDA): how much does it cost?

The template is included. You only pay for the GPU server, from $0.67/h in Canadian dollars, taxes extra, with no commitment.

JupyterLab with PyTorch (CUDA): how do I access it securely?

The console gives you an HTTPS address with a public certificate and the credentials generated for your server. The application never listens directly on the Internet: only an authenticated HTTPS proxy gives access to it.

Where is my data hosted?

In Canada. The server and its disks are hosted in Canada and billing is in Canadian dollars.

Can I install other Python libraries?

Yes. From a notebook or over SSH, you install the packages you need, as on any server.

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