lambda-labs-gpu-cloud
CommunityOn-demand GPU cloud for ML.
Software Engineering#machine learning#infrastructure#gpu#training#cloud computing#inference#lambda labs
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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