lambda-labs-gpu-cloud

Community

On-demand GPU cloud for ML.

AuthorAXGZ21
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides access to powerful, on-demand GPU cloud instances, simplifying the setup and management of machine learning training and inference workloads.

Core Features & Use Cases

  • GPU Instance Provisioning: Launch and manage various NVIDIA GPU instances (H100, A100, B200, etc.) with pre-installed ML stacks.
  • Persistent Storage: Utilize attached filesystems to store datasets, models, and checkpoints across instance lifecycles.
  • 1-Click Clusters: Deploy high-performance multi-node Slurm clusters for large-scale distributed training.
  • Use Case: Train a large language model by launching an 8x H100 instance, attaching a persistent filesystem for your dataset and checkpoints, and running your distributed training script.

Quick Start

Use the lambda-labs-gpu-cloud skill to launch an instance with an H100 GPU and connect to it via SSH.

Dependency Matrix

Required Modules

lambda-cloud-client

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: lambda-labs-gpu-cloud
Download link: https://github.com/AXGZ21/hermes-agent-railway/archive/main.zip#lambda-labs-gpu-cloud

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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