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Renting and managing GPUs on vast.ai v1.0.0

Use this resource to rent, set up and destroy a vast.ai GPU instance for a task

New

  • 592 downloads
  • 246 likes
  • 233 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install gpu-rental-vast-ai

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 analyzes the training need, searches for the best-value offers, presents the estimated total cost, then handles the full lifecycle: rent, setup, run and destroy. You do not need to pick GPU models.

Mostly picked by

Updated November 2, 2026

Card for the “Renting and managing GPUs on vast.ai” skill

Details

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

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What you get

  • SKILL.md: rent, setup and destroy steps
  • SKILL.md: state file and GPU choice by VRAM need

Good fit for

  • You want an on-demand GPU for fine-tuning
  • You lack the hardware to run model experiments

Not for

    Tags

    • gpu
    • vast.ai
    • cloud
    • training

    About

    You say

    “Rent a GPU to fine-tune this small model and show me the estimated cost before starting.”

    Card for the “Renting and managing GPUs on vast.ai” skill

    Skill published by wanshuiyin 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 rent, set up and destroy a vast.ai GPU instance for a task
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md15.4 KB

    Origin and licence

    Listed unmodified

    Author
    wanshuiyin
    Source
    github.com/wanshuiyin/auto-claude-code-research-in-sleep/tree/18bceb3c71c638bef58096274e1c9a6d323dbc0a/skills/vast-gpu
    Licence
    MIT

    Notice

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

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