KubeCon + CloudNativeCon North America 2024

In this talk, we present Wasm as a pioneering solution for running AI/ML workloads in cloud-native environments. Our focus is on demonstrating how Wasm (on the server) facilitates the execution of AI models, such as Llama3, Grok by X, Mixtral etc, across diverse cloud and edge platforms without sacrificing performance. We will discuss the advantages of using Rust and WebAssembly in AI/ML workloads, highlighting aspects like portability, speed, and security. Real-world examples will illustrate the deployment of AI inference models using Wasm runtime in Kubernetes environments, showcasing seamless orchestration and execution across varied devices. This session is aimed at cloud-native practitioners and AI/ML enthusiasts eager to explore innovative approaches in AI deployment.