A simple dashboard for NVIDIA GPU
- Python 2.7 or 3.6
- NVIDIA-sim
- A Firebase realtime database
- Linux-like OS
- Create aFirebaseRealtimedatabase
- Set the rules to
{
"rules":{
".read":true,
".write":true
}
}- Go to Project overview clickAdd Firebase to your web appand copy following part.
varconfig={
apiKey:"XXXXXXXXXXXXXXXXXXXXXXXXXXXX",
authDomain:"XXXXX.firebaseapp",
databaseURL:"https://XXXXXX.firebaseio",
projectId:"XXXXXXX",
storageBucket:"XXXXXXX.appspot",
messagingSenderId:"XXXXXXXXXXX"
};- On the serversthat have NVIDIA GPU(s) installed.
pip install GPUDashboard
GPUDashboard -n your_server_name -i 20 -u your_databaseURL>GPUDashboard.log
#your_server_name is the name you want to give your server e.g. MyFirstServer
#-i is the interval of GPU information updating
#your_databaseURL is the databaseURL obtained froom Firebase as shown aboveNow, the server GPU information is post to the firebase. *If you have many servers, all of them can make use of the same database you created in Firebase. You only need to specify different names for "your_server_name" when you start the GPUDashboard in the command line on the different servers.
- DownloadViewStatus.htmland open with text editor then replace the "config".
<html>
<header>
<script>
varconfig={
apiKey:"XXXXXXXXXXXXXXXXXXXXXXXXXXXX",
authDomain:"XXXXX.firebaseapp",
databaseURL:"https://XXXXXX.firebaseio",
projectId:"XXXXXXX",
storageBucket:"XXXXXXX.appspot",
messagingSenderId:"XXXXXXXXXXX"
};
</script>
<linkrel= "stylesheet"href= "https://fonts.googleapis /icon?family=Material+Icons"/>- Open the "modifiedViewStatus.html "with browser.