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How NATS Is Designed to Deliver AI Workloads at the Edge

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

Edge Computing Courses Distributed Systems Courses Scalability Courses NAT Courses

Course Description

Overview

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Explore how NATS, a powerful communication substrate technology, is designed to deliver AI workloads at the edge in this 37-minute conference talk. Discover community and product roadmap updates for this CNCF incubating project, presented by the NATS engineering team. Learn about the importance of local decision-making and AI models for edge devices such as automobiles, satellites, oil rigs, windmills, and plant floor equipment. Understand how NATS' integrated persistence layer can host AI models locally and update distributed edge nodes in real-time using a single binary without relying on cloud APIs or external dependencies. See a demonstration of NATS' capabilities in creating a highly distributed topology that extends from cloud to edge, enabling seamless application and service extension without migration or rewrites. Gain insights into the power of a true multi-cloud solution utilizing leaf nodes and gateways for edge computing.

Syllabus

How NATS Is Designed to Deliver AI Workloads at the Edge - Byron Ruth & Jeremy Saenz, Synadia


Taught by

CNCF [Cloud Native Computing Foundation]

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