Datacenter level utilization prediction without operating system involvement

One or more non-transitory computer-readable media storing one or more sequences of instructions that, when executed by one or more processors, cause:

• generating first one or more predictions of hardware utilization at a first hardware level of a plurality of hardware levels in a system of networked computing devices using a first trained machine learning model;
• using training data, training a second machine learning model to predict hardware utilization at a second hardware level of the plurality of hardware levels given hardware utilization features recorded in the training data to produce a second trained machine learning model;
• wherein the training data comprises first hardware utilization data for one or more hardware levels of the plurality of hardware levels collected during a first time period and the first one or more predictions of hardware utilization generated using the first trained machine learning model;
• generating second one or more predictions of hardware utilization at the first hardware level using the first trained machine learning model;
• based, at least in part, on second hardware utilization data for the one or more hardware levels collected during a second time period subsequent to the first time period, and the second one or more predictions of hardware utilization at the first hardware level, generating a prediction of hardware utilization at the second hardware level using the second trained machine learning model.