Build with Google Distributed Cloud → https://goo.gle/4aUy5sM
Build, deploy, and scale modern applications on-premises with AI ready infrastructure to ensure data security and enable agile developer workflows. In this episode of Making with AI, Cameron and Mike demonstrate how an AI on-premises solution, that doesn’t fit well in the cloud, can bring a managed Kubernetes cluster down to the locations needed to run an application.
Chapters:
0:00 – Intro
0:57- Why should my app run on the Edge?
2:38 – Demo: improving fast food order accuracy
4:23 – How to build and export the AI model
6:05 – How to connect on prem instance to the AI model
8:19 – How to get images to the inference server
10:43 – What other use cases has the team seen for AI on prem?
11:23 – How can customers modernize their legacy infrastructure for AI use cases?
12:17 – How to get started with Google Distributed Cloud
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Speakers: Mike Ensor, Cameron Peron
Products Mentioned: Cloud – AI and Machine Learning – AI Infrastructure
