From d26014f885d522424cb5be0025378eba09e3fa21 Mon Sep 17 00:00:00 2001 From: Pixelgeek <1402359+pixelgeek@users.noreply.github.com> Date: Fri, 12 Apr 2024 18:40:17 -0700 Subject: [PATCH] Update dynamically-scaling-video-inference-edge.html Fixing broken link for github repo --- blogs-news/dynamically-scaling-video-inference-edge.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/blogs-news/dynamically-scaling-video-inference-edge.html b/blogs-news/dynamically-scaling-video-inference-edge.html index adf66a4a8..1662b5ea3 100644 --- a/blogs-news/dynamically-scaling-video-inference-edge.html +++ b/blogs-news/dynamically-scaling-video-inference-edge.html @@ -319,7 +319,7 @@

Introduction

This case study describes how to redesign a traditional video inference pipeline with a monolithic architecture into a cloud-native architecture. Our use case combines edge computing and video inference. We explore how the new cloud-native architecture allows us use Kubernetes* pod scaling for a complex edge inference solution. 

-The demo source code is published on GitHub. The software uses the Intel® Distribution of OpenVINO™ and container images based on Clear Linux* OS.

+The demo source code is published on GitHub. The software uses the Intel® Distribution of OpenVINO™ and container images based on Clear Linux* OS.


Background