LPDDR: A Versatile Memory Powering The Next Wave Of Mobile, Edge & Endpoint Computing


The world of computing is evolving at a breakneck pace. From smartphones and ultra-thin laptops to autonomous vehicles and edge AI devices, the demand for memory that balances performance, power efficiency, and compact form factors has never been greater. This shift is driven by a few undeniable trends, including the increased deployment of AI models across verticals at the edge and higher us... » read more

Interconnect Innovations In High Bandwidth Memory: Part 1


By Damon Tsai, Woo Young Han, and Tim Kryman The demand for high bandwidth memory (HBM) is accelerating across the semiconductor industry, driven by boundary-pushing artificial intelligence, high-performance computing, and advanced graphics. These technologies require access to vast datasets, which in turn increases the need for memory solutions that combine speed, density, and power efficie... » read more

Why 3D NAND Layers Bend (And How To Prevent It)


3D NAND flash memory is built by vertically stacking multiple alternating layers (tiers) of silicon nitride (SiN) and oxide (TEOS) on top of each other. A major challenge in producing multilayered 3D NAND devices is tier bending and tier collapse. These undesirable conditions can be caused by a combination of factors. Using the virtual Design of Experiment (DOE) capabilities in SEMulator... » read more

Maximize Uptime And Improve TCO: RAS And Telemetry In HBM4 For Data Centers


As AI workloads scale and data center operations become increasingly complex, it is critical to keep the infrastructure up and running. Total Cost of Ownership (TCO) is a key metric that includes not only the upfront cost of hardware but also the ongoing expenses of power, cooling, maintenance, and—most importantly—downtime. A single memory failure in a hyperscale AI cluster can cascade int... » read more

Meeting The Performance Demands Of The Next-Gen Client PC Market


The client PC market is undergoing a transformative shift. As AI becomes a cornerstone of modern computing, the architecture of client systems—particularly notebooks and desktops—is being reimagined to support the immense data processing needs of these workloads. From real-time inferencing to generative applications, AI is redefining what performance means in a personal computer. With th... » read more

The Best DRAMs For Artificial Intelligence


Artificial intelligence (AI) involves intense computing and tons of data. The computing may be performed by CPUs, GPUs, or dedicated accelerators, and while the data travels through DRAM on its way to the processor, the best DRAM type for this purpose depends on the type of system that is performing the training or inference. The memory challenge facing engineering teams today is how to keep... » read more

HBM4 Elevates AI Training Performance To New Heights


Generative and Agentic AI are pushing an extremely rapid evolution of computing technology. With leading-edge LLMs now in excess of a trillion parameters, training takes an enormous amount of computing capacity, and state-of-the-art training clusters can employ more than 100,000 GPUs. High Bandwidth Memory (HBM) provides the vast memory bandwidth and capacity needed for these demanding AI train... » read more

eMMC: The Embedded Storage Powering On-Device AI


In today's world of increasingly intelligent devices, efficient and reliable storage is paramount. Embedded MultiMediaCard (eMMC) has emerged as a crucial component that acts as the internal solid-state non-volatile storage for a wide range of devices handling on-device AI processing. Think of it as a compact, high-performing internal drive built directly into your phone, smart camera, or other... » read more

Extra Safety Measures Needed For Aerospace ICs


Aerospace safety requirements and standards vary depending on whether a spacecraft is manned or unmanned, and how crucial the mission is. The defense contractors designing these spacecraft take various approaches to functional safety based on how critical a component is for the mission to succeed. While losing a few images during an Earth-bound observation may not matter, losing a satellite ... » read more

Research Bits: Apr. 1


Neuro-synaptic RAM Researchers from the National University of Singapore (NUS) and King Abdullah University of Science and Technology (KAUST) found that a standard silicon transistor can function like a biological neuron and synapse when arranged and operated in a specific way. The team was able to replicate both neural firing and synaptic weight changes by adjusting the resistance of the b... » read more

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