Building High-Performance Multi-Agentic AI Systems

Learn to build high-performance multi-agentic AI systems using Rust in this conference talk from Conf42 Rustlang 2025. Explore the enterprise challenges with traditional AI systems and discover how multi-agent architectures provide superior solutions through distributed processing and improved scalability. Examine the implementation of distributed architecture using ROS (Robot Operating System), understanding its key features and how it enables effective multi-agent coordination. Dive into concurrency and performance benefits that Rust brings to multi-agent systems, including memory safety and zero-cost abstractions. Analyze a practical case study demonstrating real-world implementation of these concepts, showing how to leverage Rust's unique capabilities for building robust, high-performance AI systems that can handle complex enterprise requirements through coordinated agent interactions.