The present invention relates to a cloud environment-based high-temperature component lifetime prediction method and a cloud server for the same, and the cloud environment-based high-temperature component lifetime prediction method according to an embodiment of the present invention comprises: (a) high-temperature component damage rating evaluation of power generation facilities constructing a deep learning model for each high-temperature component material and storing and managing the high-temperature component damage rating evaluation result in a database; (b) deriving a damage grade probability distribution with respect to the operation time or the number of start-stops using the high-temperature component damage grade evaluation resu and (c) deriving a future damage rate estimation curve through the damage grade probability distribution.
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