Serving LLMs using vLLM and Amazon EC2 instances with AWS AI chips

This article describes how to deploy Meta's Llama 3.2 1B large language model using vLLM on an AWS EC2 Inferentia instance, providing a step-by-step guide for serving LLMs using AWS AI chips.

• Requires a Hugging Face account and access token for the Llama model
• Uses an Inf2.xlarge EC2 instance with the Deep Learning Neuron AMI
• Involves creating a Docker container with vLLM and necessary dependencies
• Demonstrates both online and offline inference methods
• Provides performance tuning tips for variable sequence lengths using Neuron SDK environment variables

The guide covers deployment steps, inference techniques, and performance optimization for running large language models on AWS Inferentia chips, with a focus on flexibility and ease of use.