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Orchestrating distributed training with Ray Train v1.0.0

Use this resource to spread PyTorch training across several GPUs or nodes and run hyperparameter searches

New

  • 403 downloads
  • 153 likes
  • 228 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ray-train-distributed-training-2

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 guides you through adapting your PyTorch code to Ray Train, scaling from one to eight GPUs then to several nodes, and running hyperparameter searches with Ray Tune. You get the training code and the scaling configuration.

Mostly picked by

Updated November 2, 2026

Card for the “Orchestrating distributed training with Ray Train” skill

Details

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

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What you get

  • SKILL.md: installation, training function and distributed launch
  • references/multi-node.md: multi-node training

Good fit for

  • You want to move your script to several machines without rewriting it
  • You run many hyperparameter trials

Not for

    Tags

    • distributed training
    • ray
    • hyperparameters
    • pytorch

    About

    You say

    “Adapt my PyTorch script to Ray Train on two 8-GPU nodes and run 20 trials with early stopping.”

    Card for the “Orchestrating distributed training with Ray Train” 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 spread PyTorch training across several GPUs or nodes and run hyperparameter searches
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/multi-node.md13.8 KB
    • SKILL.md10.8 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/orchestra-research/ai-research-skills/tree/773a52944ba4747a18bd4ae9ade53fff041adcbc/08-distributed-training/ray-train
    Licence
    MIT

    Notice

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

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