There is provided a cloud management method and apparatus for available GPU resource scheduling in a large-scale container platform environment. Accordingly, a list of available GPUs may be reflected through a GPU resource metric collected in a large-scale container driving (operating) environment, and an allocable GPU may be selected from the GPU list according to a request, so that GPU resources can be allocated flexibly in response to a GPU resource request of a user (resource allocation reflecting requested resources rather than 1:1 allocation).