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SuperFlash® Technology stands out as a cost-effective and high-performance solution, utilizing a proprietary split-gate Flash memory cell. It provides exceptional programmability for System-on-Chip (SoC) applications. Renowned for its reliability, SuperFlash® technology has been in production for over two decades, ensuring robust solutions for industries such as automotive, IoT, AI, and secure smart cards. Its impressive endurance, excellent data retention, and resilience to high temperatures make it an optimal choice for demanding environments. The architecture simplifies the design process while maintaining compatibility with standard silicon CMOS processes, extending scalability from larger nodes down to 110 nm technology. Its immunity to Stress-induced Leakage Current (SILC) enhances its reliability further. Available through flexible licensing options, SuperFlash® technology is employed by leading foundries and Integrated Device Manufacturers worldwide. This technology's availability spans a broad range of process nodes, from 28 nm to 500 nm, ensuring wide applicability in next-generation memory solutions. SuperFlash®'s impressive track record with over 90 billion units shipped underscores its innovation and reliability in the market.
The memBrain™ Neuromorphic Memory is a groundbreaking technology tailored for AI applications. Designed to efficiently move AI processing from cloud environments to edge devices, this memory technology excels in its power efficiency, making it suitable for battery-powered, deeply embedded devices. This innovation is crucial for applications such as video and voice recognition, where low-latency processing at the edge is vital. memBrain™ technology supports the growing demand for AI at the edge, providing significant power savings and reducing the Bill of Materials (BOM) costs for deploying AI functionalities. As AI workloads proliferate, the energy-efficient characteristics of memBrain™ make it ideal for a variety of edge devices that require not only performance but also sustainability. Since its introduction in 2017, memBrain™ has been adopted by several companies looking to enhance their edge AI computing capabilities. Its neural network-inspired architecture allows it to process data in a manner akin to the human brain, enabling more efficient learning and potent AI inference directly within devices.
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