Run your Python workloads on cloud GPUs.
What it does
Runs and deploys Python workloads on Modal for GPU computing, parallel processing, and scalable APIs.
When to use it
Use for model deployment, GPU computation, parallel batch processing, scheduled jobs, autoscaling APIs, or distributed scientific computing.
How to use it
Give it a cloud computing or model-serving task; it creates Python functions and runs or deploys them on Modal.
Uses
Good to know
- cannot be undone: Modal
What you need · 2
Uses Python scripts importing modal to define and launch cloud functions; no local Python version is specified.
Requires a Modal account and authenticated access through the Modal CLI.
Access · 2
This skill
Modal
Billed cloud workloads (irreversible)
Installs the Modal package
Stores data and secrets remotely (irreversible)
~/.modal.toml
Saves local authentication credentials