Explore modern Edge AI experiences in this 13-minute video from Google Cloud Tech. Learn why certain AI applications are better suited for on-premises deployment, focusing on data security and agile developer workflows. Follow a demonstration of improving fast food order accuracy using AI at the edge. Discover how to build and export AI models, connect on-premises instances, and process images through inference servers. Gain insights into various use cases for on-premises AI and strategies for modernizing legacy infrastructure. Conclude with guidance on getting started with Google Distributed Cloud for building, deploying, and scaling modern AI applications on-premises.
Modern Edge AI Experiences - Building and Deploying On-Premises AI Applications
Overview
Syllabus
- Intro
- Why should my app run on the Edge?
- Demo: improving fast food order accuracy
- How to build and export the AI model
- How to connect on prem instance to the AI model
- How to get images to the inference server
- What other use cases has the team seen for AI on prem?
- How can customers modernize their legacy infrastructure for AI use cases?
- How to get started with Google Distributed Cloud
Taught by
Google Cloud Tech
