Optimize LLM application performance with Datadog's vLLM integration

The text discusses the use of vLLM, a high-performance serving framework for large language models (LLMs), and its integration with Datadog to provide comprehensive visibility into LLM workloads' performance and resource usage. It highlights how this integration enables organizations to monitor key performance indicators such as response times, throughput, and resource consumption, optimize GPU and token usage to reduce infrastructure costs, detect and address critical issues before they impact production, and ensure fast, reliable responses to prompts. The text also mentions that Datadog's vLLM integration comes with an out-of-the-box dashboard for seamless monitoring of LLM workloads and preconfigured Recommend Monitors for setting up alerts for critical performance issues.