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Current industry growth drivers, such as artificial intelligence (AI) and machine learning, 5G, Internet-of-Things (IOT), and automotive, require ever-increasing amounts of on-chip memory in order to minimize bandwidth-limiting and power-hungry off-chip memory accesses.
Today, SRAM is the predominant technology for embedded memories; however, it consumes a large part of the total chip area.
In fact, today, the amount of embedded memory on almost any integrated circuit (chip) is reaching hundreds of megabits, accounting often for up-to 75% of the total chip area, and dominates its cost.
Current industry growth drivers, such as artificial intelligence (AI) and machine learning, 5G, Internet-of-Things (IOT), and automotive, require ever-increasing amounts of on-chip memory in order to minimize bandwidth-limiting and power-hungry off-chip memory accesses.
Today, SRAM is the predominant technology for embedded memories; however, it consumes a large part of the total chip area.
In fact, today, the amount of embedded memory on almost any integrated circuit (chip) is reaching hundreds of megabits, accounting often for up-to 75% of the total chip area, and dominates its cost.
developed a unique on-chip memory technology which offers the highest-density embedded memory in a standard CMOS process, requiring no additional process steps or cost.
technology provides up-to 50% smaller memory footprint compared to the highest-density commercial solutions based on 6T SRAM.
memory IP which can be used as a drop-in replacement for SRAM,
offering a significant cost reduction, improved bandwidth, and reduced power consumption.
patented technology has already been proven in silicon with multiple test-chips of leading semiconductor foundries (e.g., TSMC, Samsung, ST Micro).