Generative AI and large language models (LLMs) inspired many organizations to reimagine the experiences they are building for their customers. As these sophisticated LLMs are integrated into more applications, developers are challenged with model serving for high-volume deployments while meeting performance targets. AWS Inferentia2 is a purpose-built accelerator optimized for performance and cost, while Ray Serve reduces serving latencies and is easy to use. In this code talk, learn how to deploy Llama 2 through Ray Serve on AWS Inferentia2 to achieve higher performance, low latency, and cost efficiency.