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

For applications where performance is of primary importance, designers have traditionally chosen SRAM technology over DRAM. Although commodity DRAM offers much higher density and a lower cost per bit, ...

Reducing Write Latency of DDR5 Memory by Exploiting Bank-Parallelism” was published by Georgia Tech. Abstract “This paper studies the impact of DRAM writes on DDR5-based system. To efficiently perform ...

Chipmakers are beginning to incorporate multiple types and flavors of DRAM in the same advanced package, setting the stage for increasingly distributed memory but significantly more complex designs.

Machine learning (ML), a subset of artificial intelligence (AI), has become integral to our lives. It allows us to learn and reason from data using techniques such as deep neural network algorithms.

The variety of different test methodologies combined with today�s mixture of memory devices creates a complex test profile. The manufacturing test floor hums with activity; a range of memory devices ...

Hardware startup d-Matrix says the $44 million it raised in a Series A round today will help it continue development of a novel “chiplet” architecture that uses 6 nanometer chip embedded in SRAM ...

This post explains what is Dynamic Random Access Memory (DRAM) and how to set up DRAM Frequency. DRAM or Dynamic Random Access Memory is a specific type of RAM that dynamically stores data for ...