Envoy Proxy: Evolved for Serving LLMs

This conference talk explores how Envoy proxy has been enhanced to address the unique challenges of deploying Large Language Models (LLMs) efficiently in production environments. Learn about the specific challenges of deploying and scaling LLMs in production and discover how Envoy's latest features optimize LLM serving, improve performance, and simplify integration into Kubernetes-native architectures. The speakers from Google delve into advanced load balancing techniques for LLM inference that intelligently route requests to optimize resource utilization and minimize latency, explain how Envoy can be instrumented for compatibility with popular LLM serving specifications such as OpenAI API specifications, and discuss security considerations for LLMs, including how to attach AI Safety frameworks in the Envoy proxy dataplane.