Datadog's vLLM (Virtual Large Language Model) integration is a high-performance serving framework that optimizes token generation and resource management for large language models, enabling low-latency, scalable performance for AI-driven applications such as chatbots, virtual assistants, and recommendation systems. The integration provides comprehensive visibility into the performance and resource usage of LLM workloads, allowing organizations to monitor key performance indicators like response times, throughput, and resource consumption in real-time. By collecting these metrics, Datadog enables organizations to quickly identify issues and optimize infrastructure usage for cost efficiency, detect critical issues before they impact production, and rightsize their infrastructure to balance performance with cost-efficiency. With the integration's out-of-the-box dashboard, users can seamlessly begin monitoring their LLM workloads in Datadog and gain end-to-end visibility into how efficiently their LLM models are processing requests.