Modal Serverless GPU

by Orchestra-Research

Modal Serverless GPU is a DevOps skill for Claude Code, published by Orchestra-Research in AI-Research-SKILLs.

11.6K stars844 forkson Orchestra-Research/AI-Research-SKILLsAdded 2026/08/12+1% in starsRepository updated 2026/06/16

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Install in seconds

Install Modal Serverless GPU

Copy Modal Serverless GPU into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/09-infrastructure/modal ~/.claude/skills/modal

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Orchestra-Research/AI-Research-SKILLs.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: 09-infrastructure/modal/SKILL.md in Orchestra-Research/AI-Research-SKILLs
Installs to: ~/.claude/skills/modal
Collection: One of 50 skills cataloged from this repository
Category: DevOps — 798 skills

What Modal Serverless GPU does

Modal Serverless GPU runs GPU-backed ML workloads without managing servers. Use it to deploy models as APIs, run batch jobs, or scale inference and training on demand.

Modal Serverless GPU is cataloged under DevOps on DirSkills. Modal Serverless GPU comes from a repository tagged ai, ai-research, claude, claude-code and claude-skills.

Documentation

README

Excerpt

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

Use Modal when:

Running GPU-intensive ML workloads without managing infrastructure
Deploying ML models as auto-scaling APIs
Running batch processing jobs (training, inference, data processing)
Need pay-per-second GPU pricing without idle costs
Prototyping ML applications quickly
Running scheduled jobs (cron-like workloads)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Modal Serverless GPU

What else does Orchestra-Research publish alongside Modal Serverless GPU?
Modal Serverless GPU is one of 50 skills that DirSkills catalogs from Orchestra-Research/AI-Research-SKILLs, the repository it ships in. Its siblings there include AWQ Quantization, Autoresearch and Axolotl. Each one is a separate skill with its own page in this directory, installs the same way Modal Serverless GPU does, and is maintained by Orchestra-Research in that same repository. The rest of the collection is listed on the Orchestra-Research/AI-Research-SKILLs page.
How does Modal Serverless GPU compare to other DevOps skills?
Modal Serverless GPU ranks #91 by stars among the 798 DevOps skills in this catalog. The most-starred ones next to it are Backend Patterns, API Connector Builder and Migration. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Modal Serverless GPU against them. Open each page to compare what they document and how they install.