Orchestrating Machine Learning on Edge Devices Using Akri and WebAssembly

Orchestrating Machine Learning on Edge Devices Using Akri and WebAssembly

Explore how Project Akri and WebAssembly can be combined to create highly scalable edge computing solutions for machine learning applications in this 25-minute conference talk. Learn about Project Akri's role in discovering and interacting with IoT devices at the network edge, and discover how WebAssembly provides a lightweight, portable runtime environment for edge applications. Gain insights into use cases such as running ML models on edge devices and real-time sensor data processing. Understand the potential of these technologies for building scalable, cost-effective edge computing infrastructure that addresses low latency and high bandwidth requirements.