Artificial intelligence (AI) model dependency handling in heterogeneous computing platforms

An Information Handling System (IHS), comprising:

• a heterogeneous computing platform comprising a plurality of hardware devices;
• and
• a memory coupled to the heterogeneous computing platform, wherein the memory contains a plurality of sets of firmware instructions, wherein each of the sets of firmware instructions, upon execution by a respective device among the plurality of hardware devices, enables the respective device to provide a corresponding firmware service, and wherein at least one of the plurality of hardware devices operates as an orchestrator configured to:
• receive an indication of a relationship between a first Artificial Intelligence (AI) model and a second AI model;
• in response to an instruction to update the first AI model and in the absence of another instruction to update the second AI model, trigger installation of an update to the second AI model, wherein the update to the second AI model is performed, at least in part, based upon contextual or telemetry data;
• and
• send a message to one or more firmware services executed by a subset of the plurality of hardware devices via one or more Application Programming Interfaces (APIs) without any involvement by any host Operating System (OS) to collect the context or telemetry data.