modal-serverless-gpu

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

Skills
AI research
1

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/modal-serverless-gpu && curl -fsSL https://doutorai.pt/data/lib/skills__modal-serverless-gpu.md -o .claude/skills/modal-serverless-gpu/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

---
name: modal-serverless-gpu
description: Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Infrastructure, Serverless, GPU, Cloud, Deployment, Modal]
dependencies: [modal>=0.64.0]
---

# Modal Serverless GPU

Comprehensive guide to running ML workloads on Modal's serverless GPU cloud platform.

## When to use Modal

**Use Modal when:**
- Running GPU-intensive ML workloads witho

- 🔒 Full content on the Pro plan (€7.99/month) -

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