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Distributed training setup v1.0.0

Use this resource to configure model training spread across several GPUs

New

  • 317 downloads
  • 134 likes
  • 160 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install distributed-training-setup

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 picks the parallelism strategy, sets up communication between processes and prepares the launch. You get a configuration and the commands to start training.

Mostly picked by

Updated November 2, 2026

Card for the “Distributed training setup” skill

Details

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

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What you get

  • SKILL.md: configuration steps and parallelism strategy
  • SKILL.md: launch examples and expected output

Good fit for

  • Your model no longer fits on a single GPU
  • Training takes several days on one machine

Not for

    Tags

    • distributed training
    • gpu
    • parallelism
    • machine learning

    About

    You say

    “Set up distributed training of my model across four GPUs in one server.”

    Card for the “Distributed training setup” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> 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 configure model training spread across several GPUs
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • SKILL.md2.4 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/07-ml-training/distributed-training-setup
    Licence
    MIT

    Notice

    « distributed-training-setup » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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