Partners
“The EDGE AI FOUNDATION is dedicated to building a dynamic ecosystem that makes intelligent systems more capable, efficient, and sustainable. We are excited to welcome Weebit Nano, whose ReRAM technology offers new ways to unlock performance and efficiency for real-world edge applications.”
“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. Such integration can enhance system performance and also ensure scalability and sustainability, paving the way for smarter, more autonomous edge devices. 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.”
“Weebit ReRAM will provide customers using our 130nm BCD process with a very low-power, high-density and cost-effective NVM. Given Weebit’s high-quality technology and unique combination of design and process engineering, we believe the technology transfer and qualification processes will proceed quickly. Looking ahead, we’re delighted to see Weebit’s strong commitment to continued roadmap innovation.”
“Weebit ReRAM is an innovative Non-Volatile Memory technology that can provide IC companies with a differentiated embedded solution. As a Weebit design partner, IC’Alps can support the unique design needs of Weebit’s customers to help them quickly achieve working silicon and speed their time to market for SoCs integrating this advanced NVM.”
“The work Weebit and CEA-Leti are doing to make Weebit ReRAM available on GlobalFoundries’ 22FDX is a welcome development as we continue to expand the ecosystem around this platform. Embedded NVM is a key element of our customers’ designs, but since embedded flash is difficult to scale below 28nm, many customers are looking to NVM solutions such as embedded ReRAM.”
“Through our ongoing work with Weebit, we are getting closer to the realization of truly brain-like platforms. The AI system using our algorithms and Weebit ReRAM combines the accuracy of deep learning with the flexibility of the human brain, so it can learn new things without forgetting trained tasks of previously acquired information. Through our close collaboration with Weebit, we have thoroughly tested their ReRAM samples and can assure their performance, high accuracy and low-power profile.”