Orchestrating Machine Learning on Edge Devices Using Akri and WebAssembly
CNCF [Cloud Native Computing Foundation] via YouTube
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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.
Syllabus
Orchestrating Machine Learning on Edge Devices Using Akri and WebAsse... Shivay Lamba & Rishit Dagli
Taught by
CNCF [Cloud Native Computing Foundation]