For years, software stacks kept getting more complex. OpenAI is moving in the opposite direction. This video breaks down how AI is collapsing layers that used to be mandatory. The impact affects ...

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 ...

StackCPU is a custom CPU design that utilizes a stack-based memory model instead of the usual memory models seen in processors such as 6502 or Z80. The StackCPU project was undertaken mostly as an ...

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 ...

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 ...

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 ...