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DevOpsTeX

Lambda Labs GPU Cloud

by Orchestra-Research

Lambda Labs GPU Cloud is a DevOps skill for Claude Code, published by Orchestra-Research in AI-Research-SKILLs.

11.6K stars844 forkson Orchestra-Research/AI-Research-SKILLsAdded 2026/08/12+1% in starsRepository updated 2026/06/16
View source on GitHubDownload repo ZIP
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Install in seconds
Install Lambda Labs GPU Cloud
Copy Lambda Labs GPU Cloud into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/09-infrastructure/lambda-labs ~/.claude/skills/lambda-labs

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Orchestra-Research/AI-Research-SKILLs.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
09-infrastructure/lambda-labs/SKILL.md in Orchestra-Research/AI-Research-SKILLs
Installs to
~/.claude/skills/lambda-labs
Collection
One of 50 skills cataloged from this repository
Category
DevOps — 798 skills

What Lambda Labs GPU Cloud does

Lambda Labs GPU Cloud reserves on-demand GPU instances for ML training and inference. Use it when you need dedicated GPUs, SSH access, persistent filesystems, or multi-node clusters.

Lambda Labs GPU Cloud is cataloged under DevOps on DirSkills. Lambda Labs GPU Cloud comes from a repository tagged ai, ai-research, claude, claude-code and claude-skills.

Documentation

README

Lambda Labs GPU Cloud

Comprehensive guide to running ML workloads on Lambda Labs GPU cloud with on-demand instances and 1-Click Clusters.

When to use Lambda Labs

Use Lambda Labs when:

  • Need dedicated GPU instances with full SSH access
  • Running long training jobs (hours to days)
  • Want simple pricing with no egress fees
  • Need persistent storage across sessions
  • Require high-performance multi-node clusters (16-512 GPUs)
  • Want pre-installed ML stack (Lambda Stack with PyTorch, CUDA, NCCL)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Lambda Labs GPU Cloud

  • What else does Orchestra-Research publish alongside Lambda Labs GPU Cloud?

    Lambda Labs GPU Cloud is one of 50 skills that DirSkills catalogs from Orchestra-Research/AI-Research-SKILLs, the repository it ships in. Its siblings there include AWQ Quantization, Autoresearch and Axolotl. Each one is a separate skill with its own page in this directory, installs the same way Lambda Labs GPU Cloud does, and is maintained by Orchestra-Research in that same repository. The rest of the collection is listed on the Orchestra-Research/AI-Research-SKILLs page.

  • How does Lambda Labs GPU Cloud compare to other DevOps skills?

    Lambda Labs GPU Cloud ranks #90 by stars among the 798 DevOps skills in this catalog. The most-starred ones next to it are Backend Patterns, API Connector Builder and Migration. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Lambda Labs GPU Cloud against them. Open each page to compare what they document and how they install.

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