Modal runs Python functions in the cloud with minimal setup, and the GPU support is legitimately good. You decorate a function, specify what hardware you want (T4 through H100), and it handles the containers and scaling. The sweet spot is ML inference and batch jobs where you need GPUs but don't want to manage infrastructure. Setup is clean: install the package, authenticate once, and you're deploying. The autoscaling actually works, you only pay for what you use, and new accounts get $30 monthly credits. If you're running transformers or doing parallel data processing and tired of configuring cloud instances, this removes most of the friction.

skills.sh installs
905
GitHub stars
33.2K
last updated
Aug 21, 2026

Install

$ npx -y skills add davila7/claude-code-templates --skill modal --agent claude-code

Installs into .claude/skills of the current project.

Files

Modal

Overview

Modal is a serverless platform for running Python code in the cloud with minimal configuration. Execute functions on powerful GPUs, scale automatically to thousands of containers, and pay only for compute used.

Modal is particularly suited for AI/ML workloads, high-performance batch processing, scheduled jobs, GPU inference, and serverless APIs. Sign up for free at https://modal.com and receive $30/month in credits.

When to Use This Skill

Use Modal for:

  • Deploying and serving ML models (LLMs, image generation, embedding models)
  • Running GPU-accelerated computation (training, inference, rendering)
  • Batch processing large datasets in parallel
  • Scheduling compute-intensive jobs (daily data processing, model training)
  • Building serverless APIs that need automatic scaling
  • Scientific computing requiring distributed compute or specialized hardware

Authentication and Setup

Modal requires authentication via API token.

Initial Setup

# Install Modal
uv uv pip install modal

# Authenticate (opens browser for login)
modal token new

This creates a token stored in ~/.modal.toml. The token authenticates all Modal operations.

Sponsors

Details

Repository
github.com/davila7/claude-code-templates
Categories
Data Science & ML, Automation & Workflows, Python, Cloud & Infrastructure
First seen
Jun 3, 2026

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