Method, device and equipment for allocating K8S cluster video memory resources and medium

The invention provides a K8S cluster video memory resource allocation method and device, equipment and a medium, and belongs to the technical field of cloud computing, and the method comprises the steps: obtaining first quantity information and second quantity information of a to-be-trained model based on registration information of the to-be-trained model; the first quantity information is used for representing the basic parameter quantity of the to-be-trained model, and the second quantity information is used for representing the to-be-trained parameter quantity of the to-be-trained model; determining a video memory value based on the coding mode of the K8S cluster video memory; the video memory value is used for representing the size of the video memory occupied by each to-be-trained parameter; based on the first quantity information, the second quantity information and the video memory numerical value, determining a video memory usage amount corresponding to a to-be-trained model; and based on the video m