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modal - Run Python workloads on Modal cloud

Deploy and run Python workloads on Modal, including GPU computing, model serving, web endpoints, scheduled jobs, storage, and autoscaling.

Tags

Updated: 2026-09-30
serverless computingcloud PythonGPU computingAI/ML deploymentmodel servingweb endpointsscheduled jobsautoscalingpersistent storage

Capabilities

Run serverless Python functionsDeploy AI/ML modelsRun GPU workloadsBuild custom container images

Typical Inputs

Python source codeModel weightsDatasets

Typical Outputs

Deployed cloud functionsRunning containersWeb endpoint URLs

What this skill does

  • Run serverless Python functions
  • Deploy AI/ML models
  • Run GPU workloads
  • Build custom container images
  • Serve web endpoints
  • Schedule recurring jobs
  • Manage persistent volumes
  • Pass secrets securely
  • Scale containers automatically
  • Process inputs in parallel

Inputs

  • Python source code
  • Model weights
  • Datasets
  • Modal credentials
  • GPU configuration
  • Container configuration
  • Job schedules
  • Persistent storage configuration

Outputs

  • Deployed cloud functions
  • Running containers
  • Web endpoint URLs
  • GPU computation results
  • Scheduled job runs
  • Persistent stored files
  • Scaling and execution status

Requirements

  • Python 3.10–3.14
  • Modal Python SDK
  • Modal authentication tokens
  • Network access to Modal
  • Modal account for cloud execution

Source

  • Spec: SKILL.md

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