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modal-guide

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Run serverless GPUs with Modal — deploy models, batch jobs, and agents on demand without managing infrastructure.

skills/modal-guide/SKILL.md

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## Overview

Modal is a serverless compute platform for Python: you write ordinary Python
functions, decorate them with infrastructure requirements (GPU type, image,
timeouts), and Modal runs them on its cloud — scaling from zero to hundreds of
parallel containers. For AI work, it's the fastest path to "run this model on a
GPU" without provisioning anything: model inference endpoints, batch processing,
fine-tuning jobs, and agent sandboxes all fit the model.

The programming model is the product: infrastructure as decorators on Python
code. `@app.function(gpu="A100")` is the whole provisioning story. Combined
with fast cold starts (custom container images with cached layers), persistent
volumes, and secrets management, Modal covers the full lifecycle from notebook
experiment to production endpoint.