A lightweight web dashboard for monitoring GPU usage
GPU is an expensive resource, and deep learning practitioners have to monitor the
health and usage of their GPUs, such as the temperature, memory, utilization, and the users.
This can be done with tools like
gpustat from the terminal or command-line.
Often times, however, it is not convenient to
ssh into servers to just check the GPU status.
gpuview is meant to mitigate this by running a lightweight web dashboard on top of
gpuview one can monitor GPUs on the go, though a web browser. Moreover, multiple GPU servers
can be registered into one
gpuview dashboard and all stats are aggregated and accessible from one place.
Thumbnail view of GPUs across multiple servers.
Python is required,
gpuview has been tested with both 2.7 and 3 versions.
Install from PyPI:
$ pip install gpuview
[or] Install directly from repo:
$ pip install git+https://github.com/fgaim/gpuview.git@master
gpuviewinstalls the latest version of
pypi, therefore, its commands are available from the terminal.
gpuview is installed, it can be started as follows:
$ gpuview start --safe-zone
This will start the dasboard at
gpuview listens to IP
0.0.0.0 and port
9988, but these can be changed using
safe-zone option implies reporting all detials including user names, but it can be turned off for security reasons.
gpuview -h to see runtime options.
start: Start dashboard server
--host: Name or IP address of host (default: 0.0.0.0)
--port: Port number to listen to (default: 9988)
--safe-zone: Safe to report all details including user names
--exclude-self: Don't report to others but to self dashboard
--debug: Run server in debug mode (for developers)
add: Add a GPU host to dashboard
--url: URL of host [IP:Port], eg. X.X.X.X:9988
--name: Optional readable name for the host, eg. Node101
remove: Remove a registered host from dashboard
--url: URL of host to remove, eg. X.X.X.X:9988
--version: Print versions of
--help: Print help for command-line options
Run as Service
To permanently run
gpuview it needs to be started as a background service. This can be done using
& as follows:
$ sudo nohup gpuview start --safe-zone &
A better way of handling this will be implemented in future, see todo.
Monitoring multiple hosts
To aggregate the stats of multiple machines, they can be registered to one dashboard using their address and the port number running
Add a host as follows:
gpuview add --url <ip:port> --name <name>
Remove a registered host as follows:
gpuview remove --url <ip:port> --name <name>
gpuviewservice should be started in all hosts that need to be monitored.
gpuviewcan be setup on a none GPU machine (for example, a laptop) to monitor remote servers.
Helpful tips related to the underlying performance are available at the
For the sake of simplicity,
gpuview does not have a user authentication in place. As a security measure,
it does not report sensitive details such as user names by default. This can be changed if the service is
running in a trusted network, using the
--safe-zone option to report all details.
--exclude-self option of the start command can be used to prevent other dashboards from getting stats of the current machine. This way the stats are shown only on the host's own dashboard.
Detailed view of GPUs across multiple servers.
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