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 ...

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 ...

I have a Spring Boot 3.5.4 application running on remote linux machine 192.168.1.10 on java 17.0.16. I can open it in my local (192.168.0.5) linux machine using VisualVM version 2.2 (also on Java 17.0 ...

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 ...