Distributed Subsystems with Embedded AI Compute in an Automotive System

A method for operating automotive computing architecture comprising:

• assigning, by a subsystem controller, an artificial intelligence workload to an artificial intelligence accelerator within a subsystem;
• receiving data, by the artificial intelligence accelerator and based on the artificial intelligence workload, from a sensor;
• processing, by the artificial intelligence accelerator, the data;
• generating, by the artificial intelligence accelerator, an inference based on the processing of the data;
• and
• transmitting a command to an actuator based on the generating of the inference;
• wherein (i) the subsystem is part of a networked system including a plurality of subsystems connected via a network;
• (ii) the plurality of subsystems operatively communicate using the network;
• and (iii) the receiving of the data, the processing of the data, and the generating of the inference is conducted within the subsystem without using the network.

An automotive computing architecture comprising:

• a network;
• and
• a plurality of networked subsystems in operative communication using the network;
• each networked subsystem comprising:
• a controller;
• and
• an artificial intelligence accelerator configured to conduct an artificial intelligence workload for its respective networked subsystem without using the network.