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A NVIDIA GPU dashboard

Project description


A simple dashboard for NVIDIA GPU flowchart




  • Python 2.7 or 3.6
  • NVIDIA-sim
  • A Firebase realtime database
  • Linux-like OS


  1. Create a Firebase Realtime database
  1. Set the rules to
  "rules": {
    ".read": true,
    ".write": true
  1. Go to Project overview click Add Firebase to your web app and copy following part.
  var config = {
    authDomain: "",
    databaseURL: "",
    projectId: "XXXXXXX",
    storageBucket: "",
    messagingSenderId: "XXXXXXXXXXX"
  1. On the servers that 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 above

Now, 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.

  1. Download ViewStatus.html and open with text editor then replace the "config".
        var config = {
            authDomain: "",
            databaseURL: "",
            projectId: "XXXXXXX",
            storageBucket: "",
            messagingSenderId: "XXXXXXXXXXX"
      <link rel="stylesheet" href=""/>
  1. Open the "modified ViewStatus.html" with browser.

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