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Running ML workloads on serverless GPUs with Modal v1.0.0

Use this resource to run ML workloads on on-demand GPUs without managing infrastructure

New

  • 576 downloads
  • 103 likes
  • 207 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install modal-serverless-gpu-deployment

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent helps you install Modal, write a function that runs on GPU, then deploy it as an inference endpoint or a batch job. You get GPU configuration and execution modes.

Mostly picked by

Updated November 2, 2026

Card for the “Running ML workloads on serverless GPUs with Modal” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: installation, GPU function and endpoint
  • references/advanced-usage.md and troubleshooting.md: advanced usage and troubleshooting

Good fit for

  • You want to expose an ML model as a serverless API
  • You run occasional batch jobs on GPU

Not for

    Tags

    • gpu
    • serverless
    • inference
    • api

    About

    You say

    “Deploy my image generation model as an API on an A10G GPU with automatic scaling.”

    Card for the “Running ML workloads on serverless GPUs with Modal” skill

    Skill published by Orchestra Research under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to run ML workloads on on-demand GPUs without managing infrastructure
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/advanced-usage.md11.1 KB
    • references/troubleshooting.md10.8 KB
    • SKILL.md8.7 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/orchestra-research/ai-research-skills/tree/773a52944ba4747a18bd4ae9ade53fff041adcbc/09-infrastructure/modal
    Licence
    MIT

    Notice

    « modal-serverless-gpu » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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