JupyterLab NVdashboard

NVDashboard is a JupyterLab extension for displaying GPU usage dashboards. It enables JupyterLab users to visualize system hardware metrics within the same interactive environment they use for development. Supported metrics include:

GPU-compute utilization
GPU-memory consumption
PCIe throughput
NVLink throughput

Demo

JupyterLab-nvdashboard Demo

New Features

JupyterLab-nvdashboard v4 brings a host of new features, improved backend architecture, and enhanced frontend components for an even better user experience. Explore the exciting updates below.

Brush for Time Series Charts

Introducing a powerful brushing feature for time series charts. Users can easily inspect past events by selecting a specific time range, providing more granular control over data exploration.

JupyterLab-nvdashboard Demo1

Synced Tooltips

For pages with multiple charts, JupyterLab-nvdashboard now offers synchronized tooltips for timestamps across all charts. This feature enhances the user's ability to analyze data cohesively and understand relationships between different data points.

JupyterLab-nvdashboard Demo4

Theme Compatibility

Seamless integration with JupyterLab themes is now a reality. The extension adapts its colors and aesthetics based on whether the user is in a light or dark theme, ensuring a consistent and visually appealing experience.

Light Theme

JupyterLab-nvdashboard Demo3

Dark Theme

JupyterLab-nvdashboard Demo2

Version Compatibility

JupyterLab-nvdashboard v4 is designed exclusively for JupyterLab v4 and later versions. To ensure continued support for JupyterLab v3 users, we will maintain the previous version separately (branch-0.9).

Requirements

JupyterLab >=4
pynvml
psutil

Installation

Conda

# nightly version (for jupyterlab>=4)
conda install -c rapidsai-nightly -c conda-forge jupyterlab-nvdashboard

# stable version (for jupyterlab<4)
conda install -c rapidsai -c conda-forge jupyterlab-nvdashboard

PyPI

# nightly version (for jupyterlab>=4)
pip install --extra-index-url https://pypi.anaconda.org/rapidsai-wheels-nightly/simple --pre jupyterlab_nvdashboard

# stable version (for jupyterlab<4)
pip install jupyterlab_nvdashboard

Troubleshoot

If you are seeing the frontend extension, but it is not working, check that the server extension is enabled:

jupyter server extension list

If the server extension is installed and enabled, but you are not seeing the frontend extension, check the frontend extension is installed:

jupyter labextension list

Contributing Developers Guide

For more details, check out the contributing guide.

Future Improvements

While we've introduced a range of exciting features in this release, we understand that there are always opportunities for improvement. We have noted a request to add cell execution markers to the charts. Due to the complexities associated with asynchronous cells, we have decided to defer this feature to a future update. Rest assured, we will explore this enhancement in subsequent releases.