Scaling AI With Wasm and Edge Computing

Explore the future of AI deployment through WebAssembly (Wasm) and edge computing in this lightning talk that demonstrates how to push beyond traditional cloud-based models. Discover how Wasm provides developers with a fast, lightweight, and secure framework for running machine learning models across diverse devices, enabling efficient AI model execution on edge devices including NVIDIA GPUs and Mac systems. Learn about driving LLM agents that require low latency and high throughput, while examining the scalability of Wasm when integrated into distributed systems for AI processing. See how the combination of edge computing and Wasm creates faster, more responsive AI applications that operate independently of centralized cloud resources. Examine real-world use cases including AI streamers providing real-time commentary and video translation agent deployment. Gain practical understanding of combining Wasm with edge infrastructure to build and deploy AI applications that scale seamlessly across distributed environments.