The invention discloses a model training device, method and
system and a computer readable storage medium, and the device comprises: a high-bandwidth storage group which is used for storing to-be-trained data; a global memory which is used for storing
model parameters of the target model; a processor which is connected with the high-bandwidth
memory bank and the global memory and is used for operating the to-be-trained data and the initial
model parameters stored in the global memory based on a training
algorithm of the target model to obtain target
model parameters and storing the target model parameters into the global memory, wherein the processor is established based on the network-on-
chip. In the present application, the storage capacity of the high-bandwidth memory is large, so thatmore to-be-trained data can be stored, and the read-write frequency of the high-bandwidth memory is reduced; the processor is built based on the network-on-
chip, so that the processor can transmit corresponding data in the processor by means of the network-on-
chip, the read-write frequency of the data to be transmitted is reduced, and compared with the prior art, the training efficiency of the model can be improved.