LLM on EKS: Serving with vLLM
The article details a tutorial on serving large language models (LLMs) in production using vLLM on Amazon EKS, with infrastructure managed via AWS CDK and a Streamlit-based chatbot for user interaction. It outlines the setup process, including provisioning GPU-enabled nodes and deploying the vLLM inference engine on a Kubernetes cluster. The goal is to demonstrate a scalable, production-like environment for LLM inference without focusing on model training.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 694497) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Daniel Pepuho for AWS Community Builders Posted on May 1 • Originally published at danielcristho.site LLM on EKS: Serving with vLLM #aws #kubernetes #llm #tutorial Last year, I mentioned that I'm interested in learning how to serve LLMs in production. At first it was just curiosity, but over time I wanted to actually try building something—not just reading about it.
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