Abstract: An Infrastructure Processing Unit (IPU), including: a model optimization processor configured to optimize an artificial intelligence (Al) model for an accelerator managed by the IPU, and deploy the optimized Al model to the accelerator for execution of an inference; and a local memory configured to store data related to the Al model optimization.

Abstract: A platform health engine for autonomous self-healing in platforms served by an Infrastructure Processing Unit (IPU), including: an analysis processor configured to apply analytics to telemetry data received from a telemetry agent of a monitored platform managed by the IPU, and to generate relevant platform health data; a prediction processor configured to predict, based on the relevant platform health data, a future health status of the monitored platform; and a dispatch processor configured to dispatch a workload of the monitored platform to another platform managed if the predicted future health status of the monitored platform is failure.

Abstract: In some embodiments, the disclosed subject matter is an assistance system with a wearable assistive device that mitigates the effects of neuro-muscular ailments such as unintended motion, or loss of strength. The assistance system uses predictive analysis based on situational, operational, and historical contexts, when in active/predictive mode. When in reactive triode, the assistive device mitigates unintended motion without altering the strength of the user. The assistance system may have an exercise mode to both assess the user's strength and flexibility of various muscles and joints, and promote exercises to either avoid further losses, or to maintain current strength and flexibility. The assistance system utilizes sensor data from sensors coupled to the assistive device, and optionally from sensors coupled to mobile devices and in the environment. Actuators on the assistive device control movement of the device based on inferred intended actions or reactive to unintended movement.