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

Sustainable AI Systems For Energy-Efficient Computing


By Pushkar Apte, Jim Sexton, and Melissa Grupen-Shemansky The world is abuzz with the new opportunities being created by artificial intelligence (AI), enabled by the availability of unprecedented amounts of data. AI runs on the semiconductor engine, and in turn, creates a rising demand for semiconductor chips. The semiconductor industry is predicted to reach $1 trillion in revenue by 2030 ... » read more

Speeding Down Memory Lane With Custom HBM


With the goal of increasing system performance per watt, the semiconductor industry is always seeking innovative solutions that go beyond the usual approaches of increasing memory capacity and data rates. Over the last decade, the High Bandwidth Memory (HBM) protocol has proven to be a popular choice for data center and high-performance computing (HPC) applications. Even more benefit can be rea... » read more

Research Bits: Mar. 10


Incipient ferroelectricity Researchers from Penn State University and the University of Minnesota propose harnessing incipient ferroelectricity in multifunctional two-dimensional FETs to create neuromorphic computer memory. Materials with incipient ferroelectricity have no stable ferroelectric order at room temperature and need certain conditions to achieve an electrical charge. The FETs were ... » read more

AI’s Rapid Growth: The Crucial Role Of High Bandwidth Memory


System efficiency is dictated by the performance of crucial components. For AI hardware systems, memory subsystem performance is the single most crucial component. In this blog post, we will provide an overview of the AI model landscape and the impact of HBM memory subsystems on effective system performance. AI models have grown from a few billions of parameters from the early '90s to today�... » read more

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