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Silicon Storage Technology, Inc.

Silicon Storage Technology, Inc. (SST) is at the forefront of memory technology innovation, known particularly for their development of the SuperFlash® and memBrain™ technologies. They specialize in NOR Flash memory which is notably reliable and versatile, deployed in a wide range of applications from automotive to artificial intelligence. With over two decades of presence in the market, SST has an impressive portfolio, with their embedded Flash technology being pivotal in the advancement of industries such as IoT and secure smart cards. Their SuperFlash® technology is recognized for its ability to offer high endurance, exceptional data retention, and efficiency under high temperatures, making it an ideal choice for demanding environments and applications. Meanwhile, their memBrain™ technology addresses the needs of modern AI processing, providing low-power solutions that optimize architecture for AI at the edge. SST’s solutions have been integrated across the portfolios of leading microcontroller vendors, making them a global leader in the nonvolatile memory market. The company continues to expand its capabilities through strategic partnerships and innovative engineering, ensuring that they remain at the cutting edge of technology development. Read more

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memBrain™ Neuromorphic Memory

memBrain™ is an innovative neuromorphic memory technology developed to enhance AI processing capabilities at the network edge. It efficiently supports the demanding operations of Deep Neural Networks (DNNs), especially in applications like video and voice recognition within battery-powered, deeply embedded devices. By integrating with SuperFlash® technology, memBrain optimizes Vector Matrix Multiplication (VMM) through an analog compute-in-memory approach, significantly boosting AI inference performance at the edge. This technology solves the challenge of handling large amounts of data that DNNs demand, by keeping synaptic weights stored inside the floating gate. This methodology reduces the need for off-chip DRAM, cutting down system bus latencies. With its analog cell operations, memBrain supports Multiply-Accumulate operations within the storage array itself, offering up to 20 times of power reduction compared to traditional RAM-based approaches. memBrain is tailored for large-scale neural system support through its tile-based architecture, achieving low energy consumption per operation cycle and ensuring minimal frame cycle latency. This makes it an invaluable asset for advanced AI implementations requiring efficient, low-cost memory solutions.

Silicon Storage Technology, Inc.
TSMC, UMC
90nm
AI Processor, CPU, Multiprocessor / DSP, Vision Processor, Wireless Processor
View Details

SuperFlash® Technology

SuperFlash® technology by SST is a proprietary memory solution based on a split-gate Flash memory cell architecture. It's renowned for offering a cost-effective, high-performance programmable solution tailored for System-on-a-Chip (SoC) devices. Since its introduction in 1992, SuperFlash technology has remained a robust choice for memory designs, thanks to its simplified design and compatibility with standard silicon CMOS processes. The technology exhibits exceptional scalability, ranging from 1 µm technology node down to 110 nm. It demonstrates high endurance, with impressive rewrite cycle capability and remarkable data retention. Even at elevated temperatures, SuperFlash maintains excellent performance and is immune to stress-induced leakage current (SILC), which makes it suitable for applications demanding high reliability and performance. SuperFlash technology offers wide foundry availability and flexibility in licensing, enabling manufacturers to incorporate this solution in a variety of applications from automotive control systems to consumer electronic devices.

Silicon Storage Technology, Inc.
GLOBALFOUNDRIES, HHGrace, Samsung, SilTerra, SMIC, Tower, TSMC, VIS
28nm, 40nm, 55nm, 65nm, 90nm, 110nm, 130nm, 180nm, 250nm, 350nm, 800nm
Embedded Memories, Flash Controller, NAND Flash, SDRAM Controller, SRAM Controller
View Details
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