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lambda-labs-gpu-cloud

Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.

  • Skills
  • AI research
  • 4

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/lambda-labs-gpu-cloud && curl -fsSL https://doutorai.pt/data/lib/skills__lambda-labs-gpu-cloud.md -o .claude/skills/lambda-labs-gpu-cloud/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

---
name: lambda-labs-gpu-cloud
description: Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Infrastructure, GPU Cloud, Training, Inference, Lambda Labs]
dependencies: [lambda-cloud-client>=1.0.0]
---

# 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 u

- 🔒 Full content on the Pro plan (€7.99/month) -

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