Weebit and EMASS reveal ReRAM edge AI advancements

Weebit Nano and EMASS have announced a collaboration to demonstrate the applications of ReRAM technology in edge AI computing.

According to both of the companies, the collaboration aims to provide solutions to the growing demand for efficient and sustainable edge AI computing by utilising Weebit's Resistive RAM (ReRAM) and EMASS' ultra-low-power systems-on-chip (SoC). This integration promises to improve energy efficiency, reduce power consumption, and offer immediate system wake-up capabilities, which are essential for AI-driven applications.

The project further paves the way for developing a monolithic edge AI solution that integrates ReRAM in advanced process nodes. This development could significantly enhance the performance and efficiency of smart devices equipped with edge computing capabilities.

Mohamed M. Sabry Aly, Founder of EMASS, said, "This collaboration represents a new era in AI hardware innovation. EMASS has recently transitioned away from MRAM technology because ReRAM is better able to support next-generation systems in IoT, automotive, and consumer electronics.

"By combining Weebit's cutting-edge ReRAM with our ultra-low-power AI technology, we are setting the stage for a next-generation solution that will redefine energy efficiency for AI applications," he said.

"Such integration can enhance system performance and also ensure scalability and sustainability, paving the way for smarter, more autonomous edge devices," Sabry Aly said.

"With this synergy, we are poised to deliver unparalleled advancements in AI computing, driving meaningful impact across industries such as IoT, healthcare, automotive, and industrial automation," he said.

Eran Briman, Vice President of Marketing & Business Development at Weebit Nano, commented, "We are delighted to work with EMASS to showcase the combined advantages of our technologies.

"EMASS' chipsets deliver new levels of performance and power efficiency for edge AI applications. Our ReRAM is also designed to deliver these advantages, and by integrating it with their technology, EMASS can push the limits of AI efficiency to enable a new generation of intelligent, energy-conscious computing," Briman said.

ReRAM, a non-volatile memory (NVM) technology developed by Weebit, offers lower power consumption, faster read and write speeds, and cost advantages compared to traditional technologies such as flash memory. These attributes make it suitable for integration into advanced processes and cost-effective NVM monolithic integration.

The live demonstration of the integrated technologies will occur at the Weebit booth during the embedded world 2025 Conference & Exhibition in Nuremberg, Germany. The presentation will highlight the ultra-low-power consumption of ReRAM and its ability to enable instant wake-up AI operations, showcasing EMASS's energy-efficient AI chipsets.