“AI chips commonly employ SRAM memory as buffers for their reliability and speed, which contribute to high performance. However, SRAM is expensive and demands significant area and energy consumption.
Java processor chip includes a memory interface that shares stacked SRAM and flash memory chips with a host CPU. Java-enabled cell phones with a small footprint require packages like Nanoamp's ...
A new technical paper titled “X-pSRAM: A Photonic SRAM with Embedded XOR Logic for Ultra-Fast In-Memory Computing” was published by researchers at University of Wisconsin–Madison and USC. “Traditional ...
SambaNova Systems Inc. today debuted a 1,040-core processor, the SN40L, that’s designed to power large artificial intelligence models with trillions of parameters. Palo Alto, California-based ...
Chinese researchers have developed super-fast non volatile flash memory Graphene channel enables 400 picosecond write speed and persistent storage "PoX" device targets AI bottlenecks with low power, ...
TL;DR: Fujitsu unveiled its Monaka processor, a 144-core Armv9-based chip designed for future data centers. Built on TSMC's N2 process, it features a CoWoS system-in-package with SRAM tiles and hybrid ...
Claimed as the industryÕs first high-performance, low-power combination memory device, the SST34HF1681 ComboMemory integrates 16 Mb of dual-bank flash memory with 8 Mb SRAM in a single, space-saving ...
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