modal

Execute compute-intensive tasks on Modal's serverless GPU and CPU clusters.

2|Updated Oct 30, 2025

Search Tags:#serverless #cloud #gpu #scaling #modal #inference

Ready to run

npx skills add https://github.com/zachmayer/skills --skill modal-zachmayer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: modal
Source: https://github.com/zachmayer/skills/tree/main/.claude/skills/modal
Command: npx skills add https://github.com/zachmayer/skills --skill modal-zachmayer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires click, modal, and includes scripts (resource) components.

What problem does it solve?

This skill solves the limitation of local hardware by offloading compute-intensive tasks like GPU inference, large-scale model training, and parallel batch processing to serverless cloud containers.

Core Features & Use Cases

Serverless GPU Execution: Run heavy workloads on A100, H100, or H200 GPUs without managing infrastructure.
Distributed Processing: Scale tasks horizontally using parallel maps and CPU swarms for high-throughput data processing.
Stateful Services: Deploy persistent web endpoints or inference servers with hot-reload capabilities.

Quick Start

Use the modal skill to deploy the current script to a cloud GPU container for remote execution.

Frequently Asked Questions about modal

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I run GPU inference on serverless cloud infrastructure?▼

Run GPU inference on serverless cloud infrastructure by deploying scripts to remote containers using Modal to execute workloads on A100, H100, or H200 GPUs without managing local hardware. This facilitates heavy model execution and batch processing.

How do I scale parallel batch processing across remote CPU swarms?▼

Scale parallel batch processing across remote CPU swarms by using distributed processing features to horizontally scale tasks, enabling high-throughput data processing in serverless cloud containers without local hardware limits.

Do I need Modal authentication to deploy persistent web endpoints?▼

Yes, you need valid Modal authentication and the modal Python package to deploy persistent web endpoints, manage remote container lifecycles, and run stateful inference servers with hot-reload capabilities.

Can I train large-scale models in the cloud without managing infrastructure?▼

Yes, you can train large-scale models in the cloud without managing infrastructure by offloading compute-intensive tasks to serverless GPU and CPU clusters managed remotely through the modal Python package.