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Deploy and optimize ML workloads in the cloud v1.0.0

Use this resource to deploy, scale or cut the cost of an ML workload in the cloud

New

  • 455 downloads
  • 152 likes
  • 241 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ml-cloud-deployment-platforms

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 starts from workload needs (latency, throughput, compliance, budget), recommends a platform, then describes the architecture, scaling and deployment commands. You get a justified deployment plan.

Mostly picked by

Updated November 2, 2026

Card for the “Deploy and optimize ML workloads in the cloud” skill

Details

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

Similar resources

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What you get

  • SKILL.md: platform selection criteria and cloud architecture
  • SKILL.md: endpoint variant configuration and SageMaker lifecycle via CLI

Good fit for

  • You must choose a platform for an inference endpoint
  • You want to reduce the cost of GPU training

Not for

    Tags

    • deployment
    • cloud
    • inference
    • gpu
    • sagemaker

    About

    You say

    “Deploy my scoring model as a real-time endpoint on AWS with autoscaling.”

    Card for the “Deploy and optimize ML workloads in the cloud” 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, scale or cut the cost of an ML workload in the cloud
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md18.4 KB

    Origin and licence

    Listed unmodified

    Author
    josiahsiegel
    Source
    github.com/josiahsiegel/claude-plugin-marketplace/tree/5a1b1123b9e50aa9a66a61005ca6fe012cc7442d/plugins/ml-master/skills/ml-cloud-deployment
    Licence
    MIT

    Notice

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

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