Efficient Serving of Large Language Models with OpenVINO

This analytical report explores the deployment of large language models (LLMs) using OpenVINO™ Model Server. It details performance metrics, optimization techniques, and practical use cases, including a chatbot application for Acme Insurance. The report provides insights into continuous batching, memory requirements, and server costs, helping companies leverage LLMs effectively without high-end hardware investments.