The continued evolution of artificial intelligence (AI), particularly in energy-sensitive edge inference and dense AI server workloads, demands radical innovation in system memory. SOCAMM (Small Outline Compression Attached Memory Module) emerges as a purpose-built memory architecture designed by NVIDIA and developed in partnership with Micron, Samsung, and SK Hynix to bridge a critical performance and efficiency gap in AI-centric platforms. By combining the high-bandwidth and energy efficiency of LPDDR5X memory with a modular, socketed form factor, SOCAMM redefines the interface between memory and compute.

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MEMPHIS Electronic announced it has extended its portfolio by adding XSemitron Technology, a manufacturer of highly efficient NAND flash and NOR flash memory components. The new partnership will reinforce MEMPHIS Electronic extensive lineup of memory innovations.

In 1984, a groundbreaking innovation was unveiled at the IEEE Integrated Electronics Devices Conference, Fujio Masuoka introduced Flash memory — a technology that revolutionized how data is stored and accessed. Four decades later, Flash memory remains central to devices and systems across diverse fields, from mobile technology to enterprise data centers and the Internet of Things (IoT).

Frankfurt / Bad Homburg, Germany. MEMPHIS Electronic revealed a lead-free memory portfolio including the first generation DDR1 to the current DDR5. MEMPHIS will be showcasing the new memory modules at embedded world 2024 in hall 1, booth 340. The DRAM devices are said to be a plus to long-life electronic manufacturers because businesses will not have to rely on the exemption clause (7c-I) to the RoHS directive anymore.

Oberursel / Frankfurt, Germany, – MEMPHIS Electronic has plans to release a family of DDR5 memory modules based on Samsung’s DDR5 chipsets in commercial and industrial temperature ranges, and configured with 16 and 32 Gigabyte capacities and 5600 MHz clock frequency.

MEMPHIS Electronic will be showcasing new STT-MRAMs (Spin Transfer Torque) from Netsol at embedded world 2022.