Create GPU Dashboards in Jupyter Lab

Create GPU Dashboards in Jupyter Lab

NVIDIA has revealed a brand new article detailing how one can create GPU dashboards within the Jupyter Lab. The tutorial has been written by Jacob Tomlinson, Ken Hester and Rick Zamora utilizing the Python programming language along with the superior Jupyter Notebooks and NVDashboard. The open-source bundle for the real-time visualization of NVIDIA GPU metrics in interactive Jupyter Lab environments.

NVDashboard is a good way for all GPU customers to observe system assets. Nonetheless, it’s particularly invaluable for customers of RAPIDS, NVIDIA’s open-source suite of GPU-accelerated data-science software program libraries” explains NVIDIA.

Jupyter Lab GPU Dashboards

“Given the computational depth of contemporary data-science algorithms, there are a lot of instances during which GPUs can provide game-changing workflow acceleration. To attain optimum efficiency, it’s completely crucial for the underlying software program to make use of system assets successfully. Though acceleration libraries (like cuDNN and RAPIDS) are particularly designed to do the heavy lifting by way of efficiency optimization, it may be very helpful for each builders and end-users to confirm that their software program is definitely leveraging GPU assets as meant. Whereas this may be completed with command-line instruments like nvidia-smi, {many professional} knowledge scientists want to make use of interactive Jupyter notebooks for day-to-day mannequin and workflow improvement.”

“The bundle is constructed upon a Python-based dashboard server, which assist the Bokeh visualization library to show and replace figures in actual time. An extra Jupyter-Lab extension embeds these dashboards as movable home windows inside an interactive atmosphere. Most GPU metrics are collected by PyNVML, an open-source Python bundle composing wrappers for the NVIDIA Administration Library (NVML). Because of this, the obtainable dashboards will be modified/prolonged to show any queryable GPU metrics accessible by NVML.”

For extra info on creating GPU Dashboards in Jupyter Labjump over to the official NVIDIA developer weblog by following the hyperlink beneath.

Supply : NVIDIA

Filed Beneath: Devices Information

Newest Geeky Devices Offers

Disclosure: A few of our articles embrace affiliate hyperlinks. In case you purchase one thing by one in every of these hyperlinks, Geeky Devices might earn an affiliate fee. Study extra.

Leave a Reply

Your email address will not be published. Required fields are marked *

Related Posts