Hi Kevin,<div><br></div><div>nvidia-healthmon is the tool I've used for this kind of thing in the past. It can do temperature checks as well as some sanity checks for things like PCIe connectivity.</div><div><br></div><div><a href="http://docs.nvidia.com/deploy/healthmon-user-guide/index.html">http://docs.nvidia.com/deploy/healthmon-user-guide/index.html</a></div><div><br></div><div>For more general monitoring (I.e. compute and memory usage), I've used Ganglia with the NVML plugins. Not sure how well maintained these are though. </div><div><br></div><div><a href="https://github.com/ganglia/gmond_python_modules/tree/master/gpu/nvidia">https://github.com/ganglia/gmond_python_modules/tree/master/gpu/nvidia</a><br></div><div><br></div>Adam<br><div><br>On Friday, June 5, 2015, Kevin Abbey <<a href="mailto:kevin.abbey@rutgers.edu">kevin.abbey@rutgers.edu</a>> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi,<br>
<br>
I recently installed a Nvidia K80 gpu in a server. Can anyone share methods and procedures for monitoring and ensuring the card is cooled sufficiently by the server fans? I need to set this up and test before running any compute tests.<br>
<br>
<br>
Thanks,<br>
Kevin<br>
<br>
-- <br>
Kevin Abbey<br>
Systems Administrator<br>
Center for Computational and Integrative Biology (CCIB)<br>
<a href="http://ccib.camden.rutgers.edu/" target="_blank">http://ccib.camden.rutgers.edu/</a><br>
<br>
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