We are transitioning from centralized industrial systems where dumb nodes would transmit information (sometimes aggregated to reduce the amount of data) to the central control systems for analytics and control. These systems relied heavily on reliable synchronous, low latency communication links. Examples of such systems were used in the power grid (SCADA: supervisory control and data acquisition) and PLCs (programmable Logic Control) in Manufacturing systems. Today, Smart Factories use a modular approach by running virtual systems to monitor physical processes relying on decentralized decisions. What used to happen to improve efficiency by using data analytics is now happening at the nodes with Artificial Intelligence and machine learning. With the decision making moving to the nodes, the processing systems now need to track and maintain the exact status of mission critical decisions independently as it is no longer stored in a central location.
With this transition the requirement on the nodes has suddenly changed from simply storing the sensor’s last data to large amounts of learning behavior that cannot simply be sent back to the center in case of power or system failure.
The next generation of compute capable, intelligent IoT nodes will rely on the integration of the high density, reliable, instant access “Next Generation MRAM” from Avalanche Technology that delivers the needed high performance unified memory architecture.