System and methods for generating inference information on a revisable model on a storage device

A storage device, comprising:

• memory;
• and
• processing circuitry to:
• receive a plurality of weights from a host device to implement an instantiation of a model on the storage device, wherein the instantiation of the model comprises a plurality of weights, each weight of the plurality of weights determined using another instantiation of the model that was trained on the host device,
• generate inference information using the instantiation of the model implemented on the storage device,
• receive a plurality of updated weights from the host device,
• update the instantiation of the model based on the plurality of updated weights to implement an updated instantiation of the model, and
• generate updated inference information on the storage device using the updated instantiation of the model based on an at least one signal to be processed.

A system, comprising:

• a host, comprising:
• control circuitry, coupled to a communications bus, to:
• train a first instantiation of a model to provide an inferencing output, wherein the first instantiation of the trained model comprises a plurality of weights,
• communicate the plurality of weights to a storage device using the communications bus, and
• communicate a plurality of updated weights to the storage device using the communications bus, and
• the storage device, coupled to the communications bus, the storage device comprising:
• memory;
• and
• processing circuitry to:
• receive the plurality of weights,
• implement a second instantiation of the model on the storage device based on the plurality of weights,
• generate inference information using the second instantiation of the model based on an at least one signal to be processed,
• receive a plurality of updated weights from the host,
• update the second instantiation of the model based on the plurality of updated weights to implement an updated second instantiation of the model, and
• generate updated inference information using the updated second instantiation of the model.