Abstract: Resistive random access memory (RRAM)-based in-memory computing (IMC) architectures are currently receiving widespread attention. Since this computing approach relies on the analog ...

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS). Attack vector: More severe the more the remote (logically and ...

TL;DR: SK hynix CEO Kwak Noh-Jung unveiled the "Full Stack AI Memory Creator" vision at the SK AI Summit 2025, emphasizing collaboration to overcome AI memory challenges. SK hynix aims to lead AI ...

SAN JOSE, Calif.--(BUSINESS WIRE)--KIOXIA America, Inc. today announced that its KIOXIA LC9 Series 245.76 terabyte (TB) 1 enterprise SSD, utilizing a 32-die stack KIOXIA BiCS FLASH™ generation 8 QLC ...

Organizing data in a specific order, also known as sorting, is a central computing operation performed by a wide range of systems. Conventional hardware systems rely on separate components to store ...

High Bandwidth Memory (HBM) is the commonly used type of DRAM for data center GPUs like NVIDIA's H200 and AMD's MI325X. High Bandwidth Flash (HBF) is a stack of flash chips with an HBM interface. What ...

Advanced Mac users may wish to manually increase the VRAM allocation on their Apple Silicon Mac for performance reasons when engaging in graphics intensive tasks like running LLMs locally, AI models, ...

As the scaling of DRAM density slows physically, a promising solution is to scale it up logically via hardware memory compression, which enhances CPU’s memory controller (MC) to squeeze more data into ...

Recent progress on deep learning accelerators enabled impressive performance on a wide range of applications. However, deep learning accelerators consume enormous amount of energy when accelerated in ...