As the generative AI rush gobbles up memory production, phone-makers will likely have to raise prices, reduce RAM specs or both.

Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

DRAM access latency is typically 50–100 ns, which at 3 GHz corresponds to 150–300 cycles. Latency arises from signal propagation, memory controller scheduling, row activation, and bus turnaround. Each ...

Samsung Electronics staged a strong rebound in the third quarter of 2025 and set the tone for the next phase of the memory cycle, where AI infrastructure, premium product mix, and heavy capital ...

ABSTRACT: The golden age of digital chips seems to be coming to an end. For decades, we have relied on making transistors smaller and increasing clock speeds to improve performance. However, when chip ...

AI systems are the ultimate amnesiacs. Despite an impressive ability to generate text, code, music, and more, they’re limited by the prompt immediately in front of them. Ask ChatGPT about a recipe it ...

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 ...

This project is designed as a simulator of a generic cache module that can be used at any level of a memory hierarchy. For example, this cache module can be instantiated as an L1 cache, L2 cache, L3 ...