TetraMem Announces 22nm Multi-Level RRAM Analog In-Memory Computing SoC Milestone
… TetraMem will continue to advance this technology to support emerging AI workloads with improved energy efficiency and system scalability. Source: TetraMem
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SK hynix and TetraMem collaborate on experimental chip to bolster energy efficiency for edge AI devices — memristor-based in-memory SoC research leaves performance questions up in the air
… To accelerate depthwise convolution, TetraMem replaced the straight selection lines used in conventional 1T1R crossbars with a zig-zag topology. …
New in-memory computing chip promises faster processing with lower energy use
… 2 VIEW GALLERY - 2 IMAGES A new partnership between SK Hynix and TetraMem has combined SK Hynix's advanced memory expertise with TetraMem's analog computing, creating a prototype device that uses memristor-based in-memory computing to perform efficient depthwise convolution, a key operation carried… …