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Deploying Python on on-demand GPUs with Modal v1.0.0

Use this resource to deploy Python models, GPU jobs and endpoints

New

  • 519 downloads
  • 132 likes
  • 105 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install serverless-gpu-python-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 writes Modal functions, sets images and GPUs, then prepares the deployment of an endpoint or job. You get deployment code and resource settings.

Mostly picked by

Updated November 2, 2026

Card for the “Deploying Python on on-demand GPUs with Modal” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: overview, installation, authentication and core concepts
  • references/: functions, images, GPU, volumes, secrets, scheduling and web endpoints

Good fit for

  • You want to serve an AI model without managing GPU servers
  • You need training or inference to run on demand

Not for

    Tags

    • Modal
    • GPU
    • serverless

    About

    You say

    “Deploy a Modal endpoint that serves my classification model on a GPU.”

    Card for the “Deploying Python on on-demand GPUs with Modal” skill

    Skill published by k-dense-ai under the Apache-2.0 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 Python models, GPU jobs and endpoints
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/api_reference.md8.7 KB
    • references/examples.md10.6 KB
    • references/functions.md8.6 KB
    • references/getting-started.md4.8 KB
    • references/gpu.md6.7 KB
    • references/images.md7.5 KB
    • references/resources.md3.3 KB
    • references/scaling.md6.6 KB
    • references/scheduled-jobs.md4.5 KB
    • references/secrets.md4 KB
    • references/volumes.md7.1 KB
    • references/web-endpoints.md8.5 KB
    • SKILL.md18.1 KB

    Origin and licence

    Listed unmodified

    Author
    k-dense-ai
    Source
    github.com/k-dense-ai/scientific-agent-skills/tree/5f2bc0341354fd5590aef76a533ada1e1e5b4e62/skills/modal
    Licence
    Apache-2.0

    Notice

    « modal » (k-dense-ai, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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