Issue |
E3S Web Conf.
Volume 93, 2019
2018 International Conference on Green Energy and Environment Engineering (CGEEE 2018)
|
|
---|---|---|
Article Number | 03003 | |
Number of page(s) | 4 | |
Section | Energy Science and Engineering | |
DOI | https://doi.org/10.1051/e3sconf/20199303003 | |
Published online | 17 April 2019 |
Preliminary experimental of GPU immersion-cooling
1
Mechanical Engineering Education, Univesitas Negeri Sebelas Maret, Jl. Ir. Sutami 36A, Surakarta 57126, Indonesia
2
Energy Engineering Laboratory, Department of Renewable Engineering, Politeknik Negeri Jember, Jember 68121, Indonesia
A typical information technology system takes around 40% of the total energy used in cooling the system. There are three major classifications of cooling system and they are: water cooling, close loop liquid cooling, and immersion cooling systems. Immersion cooling has been observed to be the latest trend in cooling systems for IT devices. It is a cooling procedure that is carried out through the immersion of all computer components in a dielectric coolant. This research examined the cooling process of GPU using this immersion method. Mineral oil, because of its high dielectric strength, is used as a medium fluid. The temperature difference between the use of fan and immersion cooling was then measured using a benchmark software. The result showed that the immersion cooling produced a lower GPU temperature compared to the conventional fan. The working temperature of the GPU with the use of immersion method was 70°C while it was 80°C with the conventional fan method.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.