MEMPHIS Electronic exhibits at Electronica India

Although memory is a commodity, it is increasingly complex to find the right solution for industrial and embedded applications. At Electronica India, MEMPHIS is highlighting the newest additions to its portfolio like Ramxeed and XSemitron, as well as the products of long-term suppliers like Samsung, Nanya, Intelligent Memory and Winbond.

Back to work - Back to Memory

It’s still summer, but we’re entering the final stretch of the year. And while we hope you all had the opportunity to take some time off and wind down a bit, we hate to remind you of the harsh reality our market is currently in.

The dramatic cut down in DDR4 production is shaking up the market. But fear not, we show you how to navigate through this time in our next webinar on September 10.

At the same time, memory is evolving - we take a look at DDR6 and SOCAMM, the potential of MRAM and FeRAM for Edge AI, as well as DRAM scaling, and a new approach to in-NAND encryption.

Check it out here

DDR6: The Next Evolution in High-Performance Memory Technology

As DDR5 adoption matures, the industry is preparing for DDR6, the sixth generation of Double Data Rate Synchronous DRAM. Expected to enter production in late 2025 or early 2026, DDR6 promises to redefine performance benchmarks across artificial intelligence (AI), cloud infrastructure, high-performance gaming, and enterprise workloads.

Our product marketing team has synthesized available draft specifications, as well as insights from vendors and the JEDEC working group, to provide a comprehensive overview of DDR6 development timelines, architectural innovations, comparative performance metrics, and market adoption trends.

Can we put back some common sense in purchasing?

Announcements like the discontinuation of eMMC and DDR4 trigger a series of events: companies stock up, prices rise, and uncertainty increases. Entering the vicious cycle of panic buying and cancelling excess orders is certainly not the way to go. So, can we please bring some common sense back to our supply chain?

For EE Times, Marco Mezger took a look at the current market situation and points out some inconvenient truths.

Read the full story here

Discontinuation of eMMC: A Guide for Developers and OEMs

The decision to phase out eMMC storage is forced by several factors. Memory manufacturers believe there has been an added price pressure in the last two years. Moreover, large memory manufacturers are keen on developing high-margin memory products. These products can provide greater profitability and reinvestment potential, catering to the price pressures associated with eMMC.

For Wevolver we took a closer look at eMMC and compared it with UFS, SDs as well as SSDs.

FeRAM for Memory-Critical Fire & Gas Suppression Systems

As fire suppression and safety systems evolve toward greater intelligence and autonomy, memory components play a central role in ensuring system reliability, data integrity, and real-time responsiveness.

This paper explores Ferroelectric RAM (FeRAM) as an advanced non-volatile memory (NVM) technology for such systems. It provides a comparative analysis with other mainstream memory technologies like EEPROM, Flash, MRAM, SRAM, and DRAM, and defines the Critical-to-Quality (CTQ) attributes required in the context of fire suppression, especially gas-based suppression systems, which demand the highest reliability and compliance.

Smarter Smart Meter and Edge-AI Data Logger Design with MRAM

Smart meters and AI-based edge data loggers enable accurate, real-time monitoring of energy consumption and industrial parameters. They continuously record data, transmit it wirelessly, and support over-the-air (OTA) updates. The memory embedded in these devices must offer not only non-volatility and fast access but also be highly durable. MRAM addresses these demands more effectively than traditional options.

Smart City Air Quality Monitoring

Urbanization, climate change, and industrialization have significantly impacted air quality, elevating the urgency for intelligent, distributed monitoring systems. We have created a new paper outlining an architecture that elevates air quality monitoring from raw data acquisition to actionable insights. To achieve this, edge-intelligent nodes are needed that integrate optical sensing, embedded AI inference, and non-volatile memory (NVRAM) technologies—specifically Magnetoresistive RAM (MRAM) and Ferroelectric RAM (FeRAM).