Abstract: Systems, apparatus, articles of manufacture, and methods to perform cloud-based artificial intelligence overclocking are disclosed that, collect workload information, the workload information representing a workload to be executed by the first compute platform, cause generation of an output from an AI model based on the workload information, the output representing an overclocking frequency value to be used for operation of the first compute platform, and performing overclocking based on the overclocking frequency value.

Abstract: Methods, apparatus, and articles of manufacture to dynamically configure overclocking frequency have been disclosed. An example apparatus include a clock rate adjuster to cause a processor core to operate at a first overclocked clock rate; a comparator to compare a sensed temperature corresponding to the processor core to a threshold; and the clock rate adjuster to, when the sensed temperature satisfies the threshold, decrease a clock rate of the processor core from the first overclocked clock rate by a user-defined amount, the decreased clock rate being above a normal operating clock rate of the processor core.