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vllm-serving-setup

Official

Deploy and tune vLLM inference serving for production workloads

Software Engineering#Kubernetes#performance tuning#vLLM#EKS#inference serving
Authoraws-samples
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the design, deployment, and tuning of vLLM inference serving on EKS, optimizing for performance and scalability.

Core Features & Use Cases

  • EKS Deployment: Automates the setup of vLLM serving on Kubernetes clusters on EKS.
  • Performance Tuning: Optimizes GPU memory usage, parallelization strategies, and resource allocation for peak performance.
  • Monitoring & Validation: Generates Helm values, PodMonitors, HPAs, and kubectl steps for production workloads.

Quick Start

Deploy and configure vLLM serving for your model by executing the provided commands in the SKILL.md file.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 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: vllm-serving-setup
Download link: https://github.com/aws-samples/sample-oh-my-aidlcops/archive/main.zip#vllm-serving-setup

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