AI SummaryA practical guide for deploying serverless Python applications on Modal, enabling developers to run GPU-accelerated AI/ML workloads, web APIs, and batch jobs with minimal infrastructure configuration.
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to install the "modal" skill in my project. Repository: https://github.com/majiayu000/claude-skill-registry Please read the repo to find the SKILL.md file(s), then: 1. Download them into the correct skills directory (.claude/skills/ or .cursor/skills/) 2. Include any companion files referenced by the skill 3. Confirm what was installed and where
Description
Guide for building serverless Python applications on Modal - a cloud platform for running AI/ML workloads, GPU-accelerated code, web endpoints, scheduled jobs, and batch processing with minimal configuration. Use when deploying Python code to Modal's infrastructure, running GPU inference, creating web APIs, processing data at scale, or building AI applications.
Overview
Modal is a serverless cloud platform for running Python code with minimal configuration. It excels at: • GPU-accelerated AI/ML inference (supports T4, L4, A10, A100, L40S, H100, H200, B200) • Serverless web APIs and endpoints • Scheduled jobs (cron) • High-performance batch processing • Sandboxed code execution Key benefits: • Pay only for resources used (billed per second) • Containers spin up in seconds • No infrastructure management required • Built-in autoscaling from zero to thousands of containers ---
Installation & Setup
`bash pip install modal modal setup # Authenticate with Modal `
Basic App Structure
`python import modal
Create an App (groups Functions for deployment)
app = modal.App("my-app")
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