From 157873c5cc5991d17d2574e7c5e41e6e687101dc Mon Sep 17 00:00:00 2001
From: ZhuYaoHui1998 <510677932@qq.com>
Date: Tue, 24 Sep 2024 17:42:53 +0800
Subject: [PATCH] add ai developer tools

---
 src/components/jeston/index.tsx | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/src/components/jeston/index.tsx b/src/components/jeston/index.tsx
index afa7a87a035f..260eb6d2ca20 100644
--- a/src/components/jeston/index.tsx
+++ b/src/components/jeston/index.tsx
@@ -197,9 +197,13 @@ const computerPageA = () => {
       })}
        {usageRender({
        class:styles.gray,
-        title: 'Jetpack Flash and Hardware Usage',
+        title: 'AI Developer Tools',
         desc: `
-        Most of our reComputer Jetson products come with NVIDIA JetPack system pre-installed on the device. However, if you want to flash these devices again or flash other devices which do not come with JetPack system, you can follow the below links for step-by-step guidance. We have also included guidance on how to use different hardware peripherals on these NVIDIA Jetson powered devices.
+        After you have access to an NVIDIA Jetson device, you can start developing different AI applications to suite different scenarios. The very first step of an AI project is to 
+      obtain data for training. Then you need to label the data and train an AI model. After that, you can optimize this model to make sure the model runs the best on the selected
+      device. Finally, you deploy this AI model to the NVIDIA Jetson device so that you can start building applications. You can also manage these applications remotely so that,
+      you can track the device performance metrics to ensure the device is performing well in the field.
+      We have prepared wiki guides that covers the entire AI workflow as explained above using different software providers and tools. 
         `,
         list:listData1
       })}