⚡ Modal

2 guides covering common problems, patterns, and production issues in Modal.

Modal is a serverless cloud platform designed for AI and ML workloads. It lets you run GPU inference, batch processing, and scheduled jobs in Python without managing any infrastructure — defining compute requirements as decorators on plain Python functions.

  • GPU inference with @app.function(gpu=...) — A10G, A100, H100 options
  • Modal.cls Model class for cached model weights across calls
  • Volumes for persistent model weight storage across cold starts
  • Parallel batch processing via .map() and .starmap()
  • Web endpoints, cron scheduling, and Secrets management
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