Samsung last month unveiled a SOCAMM2 LPDDR5-based memory module designed specifically for AI data center platforms.

TL;DR: The NVIDIA GeForce RTX 5080 is expected to feature 16GB GDDR7 memory, offering up to 960GB/sec bandwidth and 400W power consumption. It promises significant performance improvements, especially ...

Figure 1. Illustrations of the ultra-low power phase change memory device developed through this study and the comparison of power consumption by the newly developed phase change memory device ...

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions. AI-driven applications are fueling significant year-over-year growth in ...

Content Addressable Memory (CAM) is an advanced memory architecture that performs parallel search operations by comparing input data against all stored entries simultaneously, rather than accessing ...

Osaka, Japan – Numerous memory types for computing devices have emerged in recent years, aiming to overcome the limitations imposed by traditional random access memory (RAM). Magnetoresistive RAM ...

Researchers have developed a new type of memory cell that can both store information and do high-speed, high-efficiency calculations. The memory cell enables users to run high-speed computations ...

As Nvidia, AMD, and soon Intel start to roll out their next generation of AI accelerators, the focus is now shifting towards power consumption per chip. Morgan Stanley is estimating global data center ...

Run real-time AI at the edge without external memory, lower latency, less power, seamless integration for industrial, ...

A technical paper titled “Collide+Power: Leaking Inaccessible Data with Software-based Power Side Channels” was published by researchers at Graz University of Technology and CISPA Helmholtz Center for ...