Server capacity adjustment method and device, computer equipment and storage medium

The invention relates to the artificial intelligence technology, and discloses a server capacity adjustment method and device, computer equipment and a storage medium. The method comprises the steps: obtaining the load information of each node server in a previous preset period, inputting the load information into a reinforcement learning model for peak prediction, and obtaining a prediction result; obtaining an initial load peak value of each node server in the next preset period, calculating a difference value between the initial load peak value and a historical average load peak value corresponding to the initial load peak value, if the difference value is greater than a preset threshold value, taking the initial load peak value as a target load peak value, and if the target load peak value exceeds a preset range, taking the target load peak value as a target load peak value. If yes, the node server corresponding to the target load peak value serves as the target server, the capacity of the target server i