Use cases
AI compute for notebooks
Jupyter Notebooks GPU Workspaces
Open a browser-based GPU notebook for research, data exploration, model debugging, and team demos.
Ready template
Recommended workspace
Template
JupyterLab
GPU
RTX 4090
Access
Browser + SSH
Billing
Per-hour
porfal create --use-case jupyter-notebooksworkspace ready: browser + sshWorkloads
Notebook experiments
Data exploration
Model debugging
Interactive demos
Recommended stack
JupyterLab
PyTorch
TensorFlow
CUDA
GPU fit
RTX 4090
L40S
H100
Why Porfal
Dedicated GPU compute without infrastructure work.
Pick a GPU, launch the template, connect from browser or SSH, and stop the workspace when the run is done.
Work from the browser without local GPU setup.
Move from notebook to SSH when needed.
Use the same GPU workspace for iteration and testing.
Workflow
A short path from GPU to running workload.
1
Pick GPU
2
Launch JupyterLab
3
Open browser
4
Experiment interactively