GPUcloud

One-click ready machine

PyTorch environment (CUDA)

A PyTorch and CUDA environment ready at SSH login.

Log in over SSH and start right away: PyTorch and CUDA are installed in /opt/pytorch and activated at login. No port is opened besides SSH.

What you get

  • PyTorch and CUDA installed in /opt/pytorch
  • The environment activated automatically at SSH login
  • No port opened besides SSH
  • Docker and the NVIDIA driver already on the system

What it is for

  • Run existing training scripts
  • Fine-tune a model on your own data
  • Run batch jobs on GPU

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.

  • SSH access only

    No port is opened besides SSH: you work in your terminal, with your keys, with no interface exposed to the Internet.

  • 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.

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

PyTorch environment (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.

PyTorch environment (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.

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

Over SSH, with the key you choose when you deploy. No other port is opened.

Where is my data hosted?

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

Can I use my own tools?

Yes. You have full SSH access: install your dependencies, clone your repositories or run your Docker containers.

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