CompuRAM technology enables AI at the edge capacity
Embedded memory specialist, sureCore has developed CompuRAM in-memory computing technology for power efficient IoT computing. Sensor data often has to be sent from an IoT device to a server for processing, which creates a connectivity requirement and an unavoidable latency, explained sureCore. This is not acceptable for time critical applications and any extra AI-related computation must be done in a power-efficient way, said CompuRAM.
sureCore’s existing low-power memories provide a way to add the significant extra memory needed by AI applications without dramatically increasing power requirements, said the company. In-memory computing provides further power savings, it continued, by reducing the need to move large amounts of data around within a chip, as the initial processing of data is carried out very close to the memory array itself.
Chief technology officer, Tony Stansfield, explained: “sureCore’s in-memory compute technology achieves this integration by embedding arithmetic capability deep within the memory array in a way that is compatible with its existing silicon-proven, low-power memory design”
sureCore is a low power, embedded memory specialist, which empowers the IC design community to meet aggressive power budgets through a portfolio of low power memory design services and standard IP products. sureCore says its low-power engineering methodologies and design flows meet the most exacting memory requirements with a comprehensive product and design services that create clear market differentiation for customers. The company’s low-power product line encompasses a range of close to near-threshold, silicon proven, process-independent SRAM IP.
