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Serverless GPU deployment with fal.ai v1.0.0

Use this resource to deploy an AI model on fal.ai as a serverless service

New

  • 312 downloads
  • 123 likes
  • 236 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install fal-serverless-gpu-deploy

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 writes the fal.App, picks the right GPU and sets up scaling and secrets. You get the app structure, deployment commands and concurrency settings.

Mostly picked by

Updated November 2, 2026

Card for the “Serverless GPU deployment with fal.ai” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: app structure and endpoint decorators
  • SKILL.md: GPU table and scaling settings
  • SKILL.md: fal run and fal deploy commands

Good fit for

  • You host an image generation model on a GPU
  • You want to pay for GPU time only when it is used

Not for

    Tags

    • fal
    • gpu
    • serverless
    • deployment

    About

    You say

    “Deploy my image generation model on fal.ai with an A100 GPU that scales to zero.”

    Card for the “Serverless GPU deployment with fal.ai” skill

    Skill published by josiahsiegel 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 deploy an AI model on fal.ai as a serverless service
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md15.1 KB

    Origin and licence

    Listed unmodified

    Author
    josiahsiegel
    Source
    github.com/josiahsiegel/claude-plugin-marketplace/tree/5a1b1123b9e50aa9a66a61005ca6fe012cc7442d/plugins/fal-ai-master/skills/fal-serverless-guide
    Licence
    MIT

    Notice

    « fal-serverless-guide » (josiahsiegel, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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