Templates / PyTorch
CUDA 12.8SSHJupyterFrameworks
PyTorch
PyTorch 2.7 with CUDA 12.8, cuDNN 9, JupyterLab, Transformers and Accelerate. The default for training and research.
What's inside
- ✓Ubuntu 22.04, Python 3.11
- ✓PyTorch 2.7.1 + CUDA 12.8 + cuDNN 9
- ✓JupyterLab, ipywidgets
- ✓transformers, accelerate, huggingface_hub
- ✓git, tmux, htop, rsync, build-essential
How you connect
| Access | Where | Auth |
|---|---|---|
| SSH (root) | ssh -p <port> root@clearlayer.ca | Your SSH key |
| JupyterLab | https://r<id>-<random>.gpu.clearlayer.ca | Token in the link |
Quick start
SSH
ssh -p 20012 root@clearlayer.ca python -c "import torch; print(torch.cuda.get_device_name(0))"