The invention relates to the technical field of AI cluster servers, in particular to a low-temperature running AI cluster
server and a using method thereof.The method comprises the following steps that S1, the AI cluster
server running at the low temperature through a
cold plate is obtained, the
cold plate is internally provided with a multi-parameter sensor unit for detecting temperature T, pH value,
conductivity EC, suspended particle concentration SC and
oxidation reduction potential ORP data influencing the performance of the cooling liquid; s2, carrying out
noise removal and abnormal value
processing on the obtained data of the temperature T, the pH value, the
conductivity EC, the suspended particle concentration SC and the
oxidation reduction potential ORP; s3, dividing the
data set preprocessed in the step 2 into a
training set and a
test set, and constructing an LSTM model.According to the method, the health state of the cooling liquid in the AI cluster
server running at the low temperature can be accurately and timely monitored and predicted, the time node of liquid cooling replacement can be accurately judged to the maximum extent, and the accuracy of liquid cooling replacement is improved. The stable operation of the server is further ensured; and the maintenance cost and risk are reduced.