modal - Run Python workloads on Modal’s serverless cloud
Deploy and run Python functions, AI/ML workloads, web endpoints, scheduled jobs, and GPU-accelerated computations on Modal.
Tags
Updated: 2026-09-30Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Run serverless Python functions
- Deploy AI/ML models
- Execute GPU workloads
- Build container images
- Manage persistent volumes
- Serve web endpoints
- Schedule recurring jobs
- Scale concurrent workloads
- Configure compute resources
- Process inputs in parallel
Inputs
- Python application code
- Modal token ID
- Modal token secret
- Optional database URL
- Model weights
- Dataset files
Outputs
- Cloud function executions
- Deployed container applications
- Web endpoint URLs
- Scheduled job runs
- Persistent volume files
- Stored secrets
- Execution results
Requirements
- Python 3.10–3.14
- modal SDK 1.0 or later
- Modal account
- Modal authentication
- Network access to Modal
