Systems, devices, and methods related to a Deep Learning Accelerator and memory are described. An edge server may be implemented using an integrated circuit device having: a Deep Learning Accelerator configured to execute instructions with matrix operands; random access memory configured to store first instructions of an Artificial Neural Network executable by the Deep Learning Accelerator and second instructions of a server application executable by a Central Processing Unit; and an interface to a communication device on a computer network. The Central Processing Unit may be part of the integrated circuit device, or be connected to the integrated circuit device. The server application may be configured to provide services over the computer network based on output of the Artificial Neural Network and input received from one or more local devices via a bus, or a wired or wireless local area network.