From 93b80552fcaf7aa86ca7f561fd2a3e9723ad0ea6 Mon Sep 17 00:00:00 2001
From: Muhammad Rizwan Munawar <muhammadrizwanmunawar123@gmail.com>
Date: Fri, 6 Sep 2024 18:19:29 +0500
Subject: [PATCH] Add https://youtu.be/wWmXKIteRLA to docs (#16063)

---
 docs/en/guides/deepstream-nvidia-jetson.md | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/docs/en/guides/deepstream-nvidia-jetson.md b/docs/en/guides/deepstream-nvidia-jetson.md
index dc0f77d8..86cb7633 100644
--- a/docs/en/guides/deepstream-nvidia-jetson.md
+++ b/docs/en/guides/deepstream-nvidia-jetson.md
@@ -6,6 +6,17 @@ keywords: Ultralytics, YOLOv8, NVIDIA Jetson, JetPack, AI deployment, embedded s
 
 # Ultralytics YOLOv8 on NVIDIA Jetson using DeepStream SDK and TensorRT
 
+<p align="center">
+  <br>
+  <iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/wWmXKIteRLA"
+    title="YouTube video player" frameborder="0"
+    allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
+    allowfullscreen>
+  </iframe>
+  <br>
+  <strong>Watch:</strong> How to Run Multiple Streams with DeepStream SDK on Jetson Nano using Ultralytics YOLOv8
+</p>
+
 This comprehensive guide provides a detailed walkthrough for deploying Ultralytics YOLOv8 on [NVIDIA Jetson](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/) devices using DeepStream SDK and TensorRT. Here we use TensorRT to maximize the inference performance on the Jetson platform.
 
 <img width="1024" src="https://github.com/ultralytics/docs/releases/download/0/deepstream-nvidia-jetson.avif" alt="DeepStream on NVIDIA Jetson">