gpu-server-management
CommunityMaster NVIDIA GPU server setup & ops.
AuthorBagelHole
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the complex process of setting up and managing NVIDIA GPU servers, ensuring optimal performance for AI workloads like LLM inference and training.
Core Features & Use Cases
- Driver & Toolkit Installation: Automates the installation of NVIDIA drivers, CUDA, and Container Toolkit.
- Performance Tuning: Configures persistence mode, power limits, and PCIe settings for efficiency.
- Monitoring & Diagnostics: Integrates tools like
nvidia-smiand DCGM for health checks and performance tracking. - MIG Partitioning: Enables slicing of high-end GPUs (A100/H100) for multi-tenant environments.
- Use Case: Quickly deploy a new server for LLM training by installing all necessary NVIDIA software, configuring optimal settings, and verifying GPU health with a single command.
Quick Start
Install NVIDIA drivers, CUDA toolkit, and the NVIDIA Container Toolkit on Ubuntu 22.04.
Dependency Matrix
Required Modules
None requiredComponents
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: gpu-server-management Download link: https://github.com/BagelHole/DevOps-Security-Agent-Skills/archive/main.zip#gpu-server-management Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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