This application relates to the technical field of
artificial intelligence computing power, and in particular to a tidal computing power
scheduling system and method for heterogeneous computing power resource pools. It includes: a computing power request
parsing module, used to receive and parse computing power service requests to determine the computing power requirements corresponding to the tasks; a
resource pool management module, used to manage the computing power
resource pool; a
priority scheduling module, used to obtain request information corresponding to the computing power service requests to determine task priorities, and configure corresponding
resource allocation strategies based on task priorities; a node filtering module, used to filter computing nodes in the computing power
resource pool according to computing power requirements; and a tidal dynamic scaling scheduling module, used to calculate the tidal period determination results and the load data of the computing power resource
pool, and dynamically generate tidal dynamic actions in conjunction with a preset multi-level load threshold pipeline for tidal decision adjustment. This application achieves efficient utilization and intelligent elastic scaling of computing power resources.