Explore how gRPC serves as a critical foundation for artificial intelligence applications in this keynote presentation delivered by Google engineers Muninder Sambi and Arunkumar Jayaraman at a CNCF conference. Discover the role of gRPC in enabling scalable, high-performance communication between AI services and microservices architectures. Learn about the technical advantages that make gRPC particularly well-suited for AI workloads, including its efficient binary protocol, streaming capabilities, and cross-language support. Understand how major AI systems leverage gRPC for inter-service communication, data pipeline orchestration, and model serving infrastructure. Gain insights into best practices for implementing gRPC in AI-driven cloud native environments and see real-world examples of how Google and other organizations use gRPC to build robust AI platforms at scale.