Macronix International Co., Ltd. (TSE: 2337), a leading integrated device manufacturer in the non-volatile memory (NVM) market, today announced the high-performance and efficiency MXSMIO™ family of ...

AI is driving demand and higher prices for DRAM and NAND into 2026.  Products using non-volatile memories to replace NOR and ...

A dissertation titled “Novel Non-Volatile Memory Devices and Applications” was submitted by a researcher at University of California Berkeley. “This dissertation focuses on novel non-volatile memory ...

Non-volatile memory (NVM) systems represent a transformative shift in data storage, blending the speed of conventional memory with the endurance of persistent storage. These systems enable data to ...

Scientists have achieved a breakthrough in the development of non-volatile phase change memory−−a type of electronic memory that can store data even when the power is turned off−−in a material that ...

SMART Modular Technologies has announced the availability of its Non-Volatile CXL Memory Module (NV-CMM) for Tier 1 OEMs, adhering to the CXL 2.0 standard. This module combines non-volatile DRAM, ...

A significant milestone has been reached in the advancement of non-volatile phase change memory, a form of electronic memory capable of retaining data even when power is disconnected, in a material ...

Forbes contributors publish independent expert analyses and insights. This is the third in a set of four blogs about projections for digital storage and memory for the following year that we have been ...

Much like the end of Moore’s Law, the scaling challenges of flash memory have been a significant issue for several years. Embedded flash memory is reaching its limits as technology nodes for embedded ...

The type of memory a designer selects for an embedded project drives overall system operation and performance, so obviously this is a very important decision. Whether the system runs on batteries or ...

Compute-in-memory (CiM) has become an attractive computing paradigm to address the memory and power walls in traditional designs for deep learning applications. With CiM, part of the computation ...