On May 9, SK Hynix announced that it has developed a mobile NAND flash memory solution product "ZUFS (Zoned UFS) 4.0" for on-device AI.
On-Device AI refers to artificial intelligence services that run locally on the device, rather than relying on cloud servers for calculations. Terminal devices such as smartphones or PCs collect information and perform calculations on their own, which can improve the response speed of AI functions and enhance user-customized AI service functions.
SK Hynix introduced that ZUFS (Zoned Universal Flash Storage) is a new product that improves data management efficiency based on the universal flash storage (UFS) used in electronic products such as digital cameras and mobile phones. The product effectively manages data by storing data with similar characteristics in the same area (Zone), thereby optimizing data transmission between the operating system and storage.
SK Hynix said: "ZUFS 4.0 is a new generation of mobile NAND flash memory solution products, which achieves the industry's highest performance and is optimized for edge AI mobile phones."
According to reports, ZUFS manages the data generated by smartphone applications according to their characteristics. Unlike the existing UFS, which stores data in mixed storage regardless of area, ZUFS can store data of different purposes and frequencies in zones, improving the operating speed of the mobile phone operating system and the data management efficiency of storage devices.
As a result, ZUFS will improve the running time of mobile applications in long-term use environments by about 45% compared to existing UFS, and ZUFS has achieved more than 4 times improvement in storage read and write performance degradation, thereby increasing the product's service life by about 40%.
SK Hynix provides customers with initial trial products, and based on the trial product specifications, it collaborates with customers to develop 4.0 products that meet JEDEC standards. The company will start mass production of ZUFS 4.0 products in the third quarter of this year, and its mass products will be installed in the edge AI mobile phones launched by global mobile phone companies in the future.
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