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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: 2026-09-30

Capabilities

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

Source

  • Spec: SKILL.md

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serverless
cloud computing
Python
GPU
AI/ML
model deployment
web endpoints
scheduled jobs
containerization
autoscaling
Run serverless Python functions
Deploy AI/ML models
Execute GPU workloads
Build container images
Python application code
Modal token ID
Modal token secret
Cloud function executions
Deployed container applications
Web endpoint URLs